Kingdom: Input Validation and Representation

Input validation and representation problems ares caused by metacharacters, alternate encodings and numeric representations. Security problems result from trusting input. The issues include: "Buffer Overflows," "Cross-Site Scripting" attacks, "SQL Injection," and many others.

Cross-Site Scripting: Inter-Component Communication

Abstract
Sending unvalidated data to a web browser can result in the browser executing malicious code.
Explanation
Cross-site scripting (XSS) vulnerabilities occur when:

1. Data enters a web or mobile application through an untrusted source. In the case of Inter-Component Communication XSS, the untrusted source is data received from other components that reside on the same system. In the mobile world, these are applications running on the same device. In the case of reflected XSS, the untrusted source is typically a web request, while in the case of persisted (also known as stored) XSS it is typically a database or other back-end data store.


2. The data is included in dynamic content that is sent to a web user without validation.

The malicious content sent to the web browser often takes the form of a JavaScript segment, but can also include HTML, Flash or any other type of code that the browser executes. The variety of attacks based on XSS is almost limitless, but they commonly include transmitting private data such as cookies or other session information to the attacker, redirecting the victim to web content controlled by the attacker, or performing other malicious operations on the user's machine under the guise of the vulnerable site.

Some think that in the mobile environment, classic web application vulnerabilities, such as cross-site scripting, do not make sense -- why would the user attack themself? However, keep in mind that the essence of mobile platforms is applications that are downloaded from various sources and run alongside each other on the same device. The likelihood of running a piece of malware next to a banking application is high, which necessitates expanding the attack surface of mobile applications to include inter-process communication.

Example 1: The following ASP.NET code segment reads an employee ID, eid, from an HTTP request and displays it to the user.


String eid = Request["eid"];
...
EmployeeID.Text = eid;


Where EmployeeID is a server-side ASP.NET control defined as follows:


<form runat="server">
...
<asp:Label id="EmployeeID" runat="server"/>
...
</form>


The code in this example operates correctly if eid contains only standard alphanumeric text. If eid has a value that includes metacharacters or source code, then the code is executed by the web browser as it displays the HTTP response.

Initially this might not appear to be much of a vulnerability. After all, why would someone enter a URL that causes malicious code to run on their own computer? The real danger is that an attacker will create the malicious URL, then use email or social engineering tricks to lure victims into visiting a link to the URL. When victims click the link, they unwittingly reflect the malicious content through the vulnerable web application back to their own computers. This mechanism of exploiting vulnerable web applications is known as Reflected XSS.

Example 2: The following ASP.NET code segment queries a database for an employee with a given ID and prints the corresponding employee's name.


...
string name = "";
using (SqlConnection conn = new SqlConnection(_ConnectionString))
{
string eid = Request["eid"];
SqlCommand cmd = new SqlCommand("SELECT * FROM emp WHERE id = @id", conn);
cmd.Parameters.AddWithValue("@id", eid);
conn.Open();
SqlDataReader objReader = cmd.ExecuteReader();

while (objReader.Read())
{
name = objReader["name"];
}
objReader.Close();
}
...

EmployeeName.Text = name;


Where EmployeeName is a server-side ASP.NET control defined as follows:


<form runat="server">
...
<asp:Label id="EmployeeName" runat="server"/>
...
</form>


As in Example 2, this code functions correctly when the values of name are well-behaved, but it does nothing to prevent exploits if they are not. Again, this code can appear less dangerous because the value of name is read from a database, whose contents are apparently managed by the application. However, if the value of name originates from user-supplied data, then the database can be a conduit for malicious content. Without proper input validation on all data stored in the database, an attacker may execute malicious commands in the user's web browser. This type of exploit, known as Persistent (or Stored) XSS, is particularly insidious because the indirection caused by the data store makes it difficult to identify the threat and increases the possibility that the attack might affect multiple users. XSS got its start in this form with web sites that offered a "guestbook" to visitors. Attackers would include JavaScript in their guestbook entries, and all subsequent visitors to the guestbook page would execute the malicious code.

As the examples demonstrate, XSS vulnerabilities are caused by code that includes unvalidated data in an HTTP response. There are three vectors by which an XSS attack can reach a victim:

- As in Example 1, data is read directly from the HTTP request and reflected back in the HTTP response. Reflected XSS exploits occur when an attacker causes a user to supply dangerous content to a vulnerable web application, which is then reflected back to the user and executed by the web browser. The most common mechanism for delivering malicious content is to include it as a parameter in a URL that is posted publicly or emailed directly to victims. URLs constructed in this manner constitute the core of many phishing schemes, whereby an attacker convinces victims to visit a URL that refers to a vulnerable site. After the site reflects the attacker's content back to the user, the content is executed and proceeds to transfer private information, such as cookies that might include session information, from the user's machine to the attacker or perform other nefarious activities.

- As in Example 2, the application stores dangerous data in a database or other trusted data store. The dangerous data is subsequently read back into the application and included in dynamic content. Persistent XSS exploits occur when an attacker injects dangerous content into a data store that is later read and included in dynamic content. From an attacker's perspective, the optimal place to inject malicious content is in an area that is displayed to either many users or particularly interesting users. Interesting users typically have elevated privileges in the application or interact with sensitive data that is valuable to the attacker. If one of these users executes malicious content, the attacker may be able to perform privileged operations on behalf of the user or gain access to sensitive data belonging to the user.

A number of modern web frameworks provide mechanisms to perform user input validation (including Struts and Struts 2). To highlight the unvalidated sources of input, Fortify Secure Coding Rulepacks dynamically re-prioritize the issues Fortify Static Code Analyzer reports by lowering their probability of exploit and providing pointers to the supporting evidence whenever the framework validation mechanism is in use. We refer to this feature as Context-Sensitive Ranking. To further assist the Fortify user with the auditing process, the Fortify Software Security Research group makes available the Data Validation project template that groups the issues into folders based on the validation mechanism applied to their source of input.
References
[1] Anti-Cross Site Scripting Library MSDN
[2] Understanding Malicious Content Mitigation for Web Developers CERT
[3] HTML 4.01 Specification W3
[4] Tongbo Luo, Hao Hao, Wenliang Du, Yifei Wang, and Heng Yin Attacks on WebView in the Android System
[5] Erika Chin and David Wagner Bifocals: Analyzing WebView Vulnerabilities in Android Applications
[6] Standards Mapping - Common Weakness Enumeration CWE ID 79, CWE ID 80
[7] Standards Mapping - Common Weakness Enumeration Top 25 2019 [2] CWE ID 079
[8] Standards Mapping - Common Weakness Enumeration Top 25 2020 [1] CWE ID 079
[9] Standards Mapping - Common Weakness Enumeration Top 25 2021 [2] CWE ID 079
[10] Standards Mapping - Common Weakness Enumeration Top 25 2022 [2] CWE ID 079
[11] Standards Mapping - Common Weakness Enumeration Top 25 2023 [2] CWE ID 079
[12] Standards Mapping - Common Weakness Enumeration Top 25 2024 [1] CWE ID 079
[13] Standards Mapping - DISA Control Correlation Identifier Version 2 CCI-001310, CCI-002754
[14] Standards Mapping - FIPS200 SI
[15] Standards Mapping - General Data Protection Regulation (GDPR) Indirect Access to Sensitive Data
[16] Standards Mapping - NIST Special Publication 800-53 Revision 4 SI-10 Information Input Validation (P1)
[17] Standards Mapping - NIST Special Publication 800-53 Revision 5 SI-10 Information Input Validation
[18] Standards Mapping - OWASP Application Security Verification Standard 4.0 5.3.3 Output Encoding and Injection Prevention Requirements (L1 L2 L3), 5.3.6 Output Encoding and Injection Prevention Requirements (L1 L2 L3)
[19] Standards Mapping - OWASP Mobile 2014 M7 Client Side Injection
[20] Standards Mapping - OWASP Mobile 2024 M4 Insufficient Input/Output Validation
[21] Standards Mapping - OWASP Mobile Application Security Verification Standard 2.0 MASVS-CODE-4
[22] Standards Mapping - OWASP Top 10 2004 A4 Cross Site Scripting
[23] Standards Mapping - OWASP Top 10 2007 A1 Cross Site Scripting (XSS)
[24] Standards Mapping - OWASP Top 10 2010 A2 Cross-Site Scripting (XSS)
[25] Standards Mapping - OWASP Top 10 2013 A3 Cross-Site Scripting (XSS)
[26] Standards Mapping - OWASP Top 10 2017 A7 Cross-Site Scripting (XSS)
[27] Standards Mapping - OWASP Top 10 2021 A03 Injection
[28] Standards Mapping - Payment Card Industry Data Security Standard Version 1.1 Requirement 6.5.4
[29] Standards Mapping - Payment Card Industry Data Security Standard Version 1.2 Requirement 6.3.1.1, Requirement 6.5.1
[30] Standards Mapping - Payment Card Industry Data Security Standard Version 2.0 Requirement 6.5.7
[31] Standards Mapping - Payment Card Industry Data Security Standard Version 3.0 Requirement 6.5.7
[32] Standards Mapping - Payment Card Industry Data Security Standard Version 3.1 Requirement 6.5.7
[33] Standards Mapping - Payment Card Industry Data Security Standard Version 3.2 Requirement 6.5.7
[34] Standards Mapping - Payment Card Industry Data Security Standard Version 3.2.1 Requirement 6.5.7
[35] Standards Mapping - Payment Card Industry Data Security Standard Version 4.0 Requirement 6.2.4
[36] Standards Mapping - Payment Card Industry Data Security Standard Version 4.0.1 Requirement 6.2.4
[37] Standards Mapping - Payment Card Industry Software Security Framework 1.0 Control Objective 4.2 - Critical Asset Protection
[38] Standards Mapping - Payment Card Industry Software Security Framework 1.1 Control Objective 4.2 - Critical Asset Protection, Control Objective B.3.1 - Terminal Software Attack Mitigation, Control Objective B.3.1.1 - Terminal Software Attack Mitigation
[39] Standards Mapping - Payment Card Industry Software Security Framework 1.2 Control Objective 4.2 - Critical Asset Protection, Control Objective B.3.1 - Terminal Software Attack Mitigation, Control Objective B.3.1.1 - Terminal Software Attack Mitigation, Control Objective C.3.2 - Web Software Attack Mitigation
[40] Standards Mapping - SANS Top 25 2009 Insecure Interaction - CWE ID 079
[41] Standards Mapping - SANS Top 25 2010 Insecure Interaction - CWE ID 079
[42] Standards Mapping - SANS Top 25 2011 Insecure Interaction - CWE ID 079
[43] Standards Mapping - Security Technical Implementation Guide Version 3.1 APP3510 CAT I, APP3580 CAT I
[44] Standards Mapping - Security Technical Implementation Guide Version 3.4 APP3510 CAT I, APP3580 CAT I
[45] Standards Mapping - Security Technical Implementation Guide Version 3.5 APP3510 CAT I, APP3580 CAT I
[46] Standards Mapping - Security Technical Implementation Guide Version 3.6 APP3510 CAT I, APP3580 CAT I
[47] Standards Mapping - Security Technical Implementation Guide Version 3.7 APP3510 CAT I, APP3580 CAT I
[48] Standards Mapping - Security Technical Implementation Guide Version 3.9 APP3510 CAT I, APP3580 CAT I
[49] Standards Mapping - Security Technical Implementation Guide Version 3.10 APP3510 CAT I, APP3580 CAT I
[50] Standards Mapping - Security Technical Implementation Guide Version 4.2 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[51] Standards Mapping - Security Technical Implementation Guide Version 4.3 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[52] Standards Mapping - Security Technical Implementation Guide Version 4.4 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[53] Standards Mapping - Security Technical Implementation Guide Version 4.5 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[54] Standards Mapping - Security Technical Implementation Guide Version 4.6 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[55] Standards Mapping - Security Technical Implementation Guide Version 4.7 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[56] Standards Mapping - Security Technical Implementation Guide Version 4.8 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[57] Standards Mapping - Security Technical Implementation Guide Version 4.9 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[58] Standards Mapping - Security Technical Implementation Guide Version 4.10 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[59] Standards Mapping - Security Technical Implementation Guide Version 4.11 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[60] Standards Mapping - Security Technical Implementation Guide Version 4.1 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[61] Standards Mapping - Security Technical Implementation Guide Version 5.1 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[62] Standards Mapping - Security Technical Implementation Guide Version 5.2 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[63] Standards Mapping - Security Technical Implementation Guide Version 5.3 APSC-DV-002490 CAT I, APSC-DV-002530 CAT II, APSC-DV-002560 CAT I
[64] Standards Mapping - Security Technical Implementation Guide Version 6.1 APSC-DV-002490 CAT I, APSC-DV-002530 CAT II, APSC-DV-002560 CAT I
[65] Standards Mapping - Web Application Security Consortium Version 2.00 Cross-Site Scripting (WASC-08)
[66] Standards Mapping - Web Application Security Consortium 24 + 2 Cross-Site Scripting
desc.dataflow.dotnet.cross_site_scripting_inter_component_communication
Abstract
Sending unvalidated data to a web browser can result in the browser executing malicious code.
Explanation
Cross-site scripting (XSS) vulnerabilities occur when:

1. Data enters a web application through an untrusted source. In the case of Inter-Component Communication XSS, the untrusted source is data received from other components that reside on the same system. In the case of reflected XSS, the untrusted source is typically a web request, while in the case of persisted (also known as stored) XSS it is typically a database or other back-end data store.

2. The data is included in dynamic content that is sent to a web user without validation.

The malicious content sent to the web browser often takes the form of a JavaScript segment, but can also include HTML, Flash or any other type of code that the browser executes. The variety of attacks based on XSS is almost limitless, but they commonly include transmitting private data such as cookies or other session information to the attacker, redirecting the victim to web content controlled by the attacker, or performing other malicious operations on the user's machine under the guise of the vulnerable site.


Example 1: The following Go code segment reads a user name, user, from an HTTP request and displays it to the user.

func someHandler(w http.ResponseWriter, r *http.Request){
r.parseForm()
user := r.FormValue("user")
...
fmt.Fprintln(w, "Username is: ", user)
}


The code in this example operates correctly if user contains only standard alphanumeric text. If user has a value that includes metacharacters or source code, then the code will be executed by the web browser as it displays the HTTP response.

Initially this might not appear to be much of a vulnerability. After all, why would someone enter a URL that causes malicious code to run on their own computer? The real danger is that an attacker will create the malicious URL, then use email or social engineering tricks to lure victims into visiting a link to the URL. When victims click the link, they unwittingly reflect the malicious content through the vulnerable web application back to their own computers. This mechanism of exploiting vulnerable web applications is known as Reflected XSS.

Example 2: The following Go code segment queries a database for an employee with a given ID and prints the corresponding employee's name.

func someHandler(w http.ResponseWriter, r *http.Request){
...
row := db.QueryRow("SELECT name FROM users WHERE id =" + userid)
err := row.Scan(&name)
...
fmt.Fprintln(w, "Username is: ", name)
}


As in Example 1, this code functions correctly when the values of name are well-behaved, but it does nothing to prevent exploits if they are not. Again, this code can appear less dangerous because the value of name is read from a database, whose contents are apparently managed by the application. However, if the value of name originates from user-supplied data, then the database can be a conduit for malicious content. Without proper input validation on all data stored in the database, an attacker can execute malicious commands in the user's web browser. This type of exploit, known as Persistent (or Stored) XSS, is particularly insidious because the indirection caused by the data store makes it difficult to identify the threat and increases the possibility that the attack affects multiple users. XSS began in this form with web sites that offered a "guestbook" to visitors. Attackers would include JavaScript in their guestbook entries, and all subsequent visitors to the guestbook page would execute the malicious code.

As the examples demonstrate, XSS vulnerabilities are caused by code that includes unvalidated data in an HTTP response. There are three vectors by which an XSS attack can reach a victim:

- As shown in Example 1, data is read directly from the HTTP request and reflected back in the HTTP response. Reflected XSS exploits occur when an attacker causes a user to supply dangerous content to a vulnerable web application, which is then reflected back to the user and executed by the web browser. The most common mechanism for delivering malicious content is to include it as a parameter in a URL that is posted publicly or emailed directly to victims. URLs constructed in this manner constitute the core of many phishing schemes, whereby an attacker convinces victims to visit a URL that refers to a vulnerable site. After the site reflects the attacker's content back to the user, the content is executed and proceeds to transfer private information, such as cookies that might include session information, from the user's machine to the attacker or perform other nefarious activities.

- As shown in Example 2, the application stores dangerous data in a database or other trusted data store. The dangerous data is subsequently read back into the application and included in dynamic content. Persistent XSS exploits occur when an attacker injects dangerous content into a data store that is later read and included in dynamic content. From an attacker's perspective, the optimal place to inject malicious content is in an area that is displayed to either many users or particularly interesting users. Interesting users typically have elevated privileges in the application or interact with sensitive data that is valuable to the attacker. If one of these users executes malicious content, the attacker can perform privileged operations on behalf of the user or gain access to sensitive data belonging to the user.

- A source outside the application stores dangerous data in a database or other data store, and the dangerous data is subsequently read back into the application as trusted data and included in dynamic content.
References
[1] Understanding Malicious Content Mitigation for Web Developers CERT
[2] HTML 4.01 Specification W3
[3] Standards Mapping - Common Weakness Enumeration CWE ID 79, CWE ID 80
[4] Standards Mapping - Common Weakness Enumeration Top 25 2019 [2] CWE ID 079
[5] Standards Mapping - Common Weakness Enumeration Top 25 2020 [1] CWE ID 079
[6] Standards Mapping - Common Weakness Enumeration Top 25 2021 [2] CWE ID 079
[7] Standards Mapping - Common Weakness Enumeration Top 25 2022 [2] CWE ID 079
[8] Standards Mapping - Common Weakness Enumeration Top 25 2023 [2] CWE ID 079
[9] Standards Mapping - Common Weakness Enumeration Top 25 2024 [1] CWE ID 079
[10] Standards Mapping - DISA Control Correlation Identifier Version 2 CCI-001310, CCI-002754
[11] Standards Mapping - FIPS200 SI
[12] Standards Mapping - General Data Protection Regulation (GDPR) Indirect Access to Sensitive Data
[13] Standards Mapping - NIST Special Publication 800-53 Revision 4 SI-10 Information Input Validation (P1)
[14] Standards Mapping - NIST Special Publication 800-53 Revision 5 SI-10 Information Input Validation
[15] Standards Mapping - OWASP Application Security Verification Standard 4.0 5.3.3 Output Encoding and Injection Prevention Requirements (L1 L2 L3), 5.3.6 Output Encoding and Injection Prevention Requirements (L1 L2 L3)
[16] Standards Mapping - OWASP Mobile 2014 M7 Client Side Injection
[17] Standards Mapping - OWASP Mobile 2024 M4 Insufficient Input/Output Validation
[18] Standards Mapping - OWASP Mobile Application Security Verification Standard 2.0 MASVS-CODE-4
[19] Standards Mapping - OWASP Top 10 2004 A4 Cross Site Scripting
[20] Standards Mapping - OWASP Top 10 2007 A1 Cross Site Scripting (XSS)
[21] Standards Mapping - OWASP Top 10 2010 A2 Cross-Site Scripting (XSS)
[22] Standards Mapping - OWASP Top 10 2013 A3 Cross-Site Scripting (XSS)
[23] Standards Mapping - OWASP Top 10 2017 A7 Cross-Site Scripting (XSS)
[24] Standards Mapping - OWASP Top 10 2021 A03 Injection
[25] Standards Mapping - Payment Card Industry Data Security Standard Version 1.1 Requirement 6.5.4
[26] Standards Mapping - Payment Card Industry Data Security Standard Version 1.2 Requirement 6.3.1.1, Requirement 6.5.1
[27] Standards Mapping - Payment Card Industry Data Security Standard Version 2.0 Requirement 6.5.7
[28] Standards Mapping - Payment Card Industry Data Security Standard Version 3.0 Requirement 6.5.7
[29] Standards Mapping - Payment Card Industry Data Security Standard Version 3.1 Requirement 6.5.7
[30] Standards Mapping - Payment Card Industry Data Security Standard Version 3.2 Requirement 6.5.7
[31] Standards Mapping - Payment Card Industry Data Security Standard Version 3.2.1 Requirement 6.5.7
[32] Standards Mapping - Payment Card Industry Data Security Standard Version 4.0 Requirement 6.2.4
[33] Standards Mapping - Payment Card Industry Data Security Standard Version 4.0.1 Requirement 6.2.4
[34] Standards Mapping - Payment Card Industry Software Security Framework 1.0 Control Objective 4.2 - Critical Asset Protection
[35] Standards Mapping - Payment Card Industry Software Security Framework 1.1 Control Objective 4.2 - Critical Asset Protection, Control Objective B.3.1 - Terminal Software Attack Mitigation, Control Objective B.3.1.1 - Terminal Software Attack Mitigation
[36] Standards Mapping - Payment Card Industry Software Security Framework 1.2 Control Objective 4.2 - Critical Asset Protection, Control Objective B.3.1 - Terminal Software Attack Mitigation, Control Objective B.3.1.1 - Terminal Software Attack Mitigation, Control Objective C.3.2 - Web Software Attack Mitigation
[37] Standards Mapping - SANS Top 25 2009 Insecure Interaction - CWE ID 079
[38] Standards Mapping - SANS Top 25 2010 Insecure Interaction - CWE ID 079
[39] Standards Mapping - SANS Top 25 2011 Insecure Interaction - CWE ID 079
[40] Standards Mapping - Security Technical Implementation Guide Version 3.1 APP3510 CAT I, APP3580 CAT I
[41] Standards Mapping - Security Technical Implementation Guide Version 3.4 APP3510 CAT I, APP3580 CAT I
[42] Standards Mapping - Security Technical Implementation Guide Version 3.5 APP3510 CAT I, APP3580 CAT I
[43] Standards Mapping - Security Technical Implementation Guide Version 3.6 APP3510 CAT I, APP3580 CAT I
[44] Standards Mapping - Security Technical Implementation Guide Version 3.7 APP3510 CAT I, APP3580 CAT I
[45] Standards Mapping - Security Technical Implementation Guide Version 3.9 APP3510 CAT I, APP3580 CAT I
[46] Standards Mapping - Security Technical Implementation Guide Version 3.10 APP3510 CAT I, APP3580 CAT I
[47] Standards Mapping - Security Technical Implementation Guide Version 4.2 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[48] Standards Mapping - Security Technical Implementation Guide Version 4.3 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[49] Standards Mapping - Security Technical Implementation Guide Version 4.4 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[50] Standards Mapping - Security Technical Implementation Guide Version 4.5 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[51] Standards Mapping - Security Technical Implementation Guide Version 4.6 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[52] Standards Mapping - Security Technical Implementation Guide Version 4.7 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[53] Standards Mapping - Security Technical Implementation Guide Version 4.8 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[54] Standards Mapping - Security Technical Implementation Guide Version 4.9 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[55] Standards Mapping - Security Technical Implementation Guide Version 4.10 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[56] Standards Mapping - Security Technical Implementation Guide Version 4.11 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[57] Standards Mapping - Security Technical Implementation Guide Version 4.1 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[58] Standards Mapping - Security Technical Implementation Guide Version 5.1 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[59] Standards Mapping - Security Technical Implementation Guide Version 5.2 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[60] Standards Mapping - Security Technical Implementation Guide Version 5.3 APSC-DV-002490 CAT I, APSC-DV-002530 CAT II, APSC-DV-002560 CAT I
[61] Standards Mapping - Security Technical Implementation Guide Version 6.1 APSC-DV-002490 CAT I, APSC-DV-002530 CAT II, APSC-DV-002560 CAT I
[62] Standards Mapping - Web Application Security Consortium Version 2.00 Cross-Site Scripting (WASC-08)
[63] Standards Mapping - Web Application Security Consortium 24 + 2 Cross-Site Scripting
desc.dataflow.golang.cross_site_scripting_inter_component_communication
Abstract
Sending unvalidated data to a web browser can result in the browser executing malicious code.
Explanation
Cross-site scripting (XSS) vulnerabilities occur when:

1. Data enters a web or mobile application through an untrusted source. In the case of Inter-Component Communication XSS, the untrusted source is data received from other components that reside on the same system. In the mobile world, these are applications running on the same device. In the case of reflected XSS, the untrusted source is typically a web request, while in the case of persisted (also known as stored) XSS it is typically a database or other back-end data store.


2. The data is included in dynamic content that is sent to a web user without validation.

The malicious content sent to the web browser often takes the form of a JavaScript segment, but can also include HTML, Flash or any other type of code that the browser executes. The variety of attacks based on XSS is almost limitless, but they commonly include transmitting private data such as cookies or other session information to the attacker, redirecting the victim to web content controlled by the attacker, or performing other malicious operations on the user's machine under the guise of the vulnerable site.

Some think that in the mobile environment, classic web application vulnerabilities, such as cross-site scripting, do not make sense -- why would the user attack themself? However, keep in mind that the essence of mobile platforms is applications that are downloaded from various sources and run alongside each other on the same device. The likelihood of running a piece of malware next to a banking application is high, which necessitates expanding the attack surface of mobile applications to include inter-process communication.

Example 1: The following code enables JavaScript in Android's WebView (by default, JavaScript is disabled) and loads a page based on the value received from an Android intent.


...
WebView webview = (WebView) findViewById(R.id.webview);
webview.getSettings().setJavaScriptEnabled(true);
String url = this.getIntent().getExtras().getString("url");
webview.loadUrl(url);
...


If the value of url starts with javascript:, JavaScript code that follows executes within the context of the web page inside WebView.

Example 2: The following JSP code segment reads an employee ID, eid, from an HTTP request and displays it to the user.


<% String eid = request.getParameter("eid"); %>
...
Employee ID: <%= eid %>


The code in this example operates correctly if eid contains only standard alphanumeric text. If eid has a value that includes metacharacters or source code, then the code is executed by the web browser as it displays the HTTP response.

Initially this might not appear to be much of a vulnerability. After all, why would someone enter a URL that causes malicious code to run on their own computer? The real danger is that an attacker will create the malicious URL, then use email or social engineering tricks to lure victims into visiting a link to the URL. When victims click the link, they unwittingly reflect the malicious content through the vulnerable web application back to their own computers. This mechanism of exploiting vulnerable web applications is known as Reflected XSS.

Example 3: The following JSP code segment queries a database for an employee with a given ID and prints the corresponding employee's name.


<%...
Statement stmt = conn.createStatement();
ResultSet rs = stmt.executeQuery("select * from emp where id="+eid);
if (rs != null) {
rs.next();
String name = rs.getString("name");
}
%>

Employee Name: <%= name %>


As in Example 2, this code functions correctly when the values of name are well-behaved, but it does nothing to prevent exploits if they are not. Again, this code can appear less dangerous because the value of name is read from a database, whose contents are apparently managed by the application. However, if the value of name originates from user-supplied data, then the database can be a conduit for malicious content. Without proper input validation on all data stored in the database, an attacker may execute malicious commands in the user's web browser. This type of exploit, known as Persistent (or Stored) XSS, is particularly insidious because the indirection caused by the data store makes it difficult to identify the threat and increases the possibility that the attack might affect multiple users. XSS got its start in this form with web sites that offered a "guestbook" to visitors. Attackers would include JavaScript in their guestbook entries, and all subsequent visitors to the guestbook page would execute the malicious code.

As the examples demonstrate, XSS vulnerabilities are caused by code that includes unvalidated data in an HTTP response. There are three vectors by which an XSS attack can reach a victim:

- As in Example 1, a source outside the application stores dangerous data in a database or other data store, and the dangerous data is subsequently read back into the application as trusted data and included in dynamic content.

- As in Example 2, data is read directly from the HTTP request and reflected back in the HTTP response. Reflected XSS exploits occur when an attacker causes a user to supply dangerous content to a vulnerable web application, which is then reflected back to the user and executed by the web browser. The most common mechanism for delivering malicious content is to include it as a parameter in a URL that is posted publicly or emailed directly to victims. URLs constructed in this manner constitute the core of many phishing schemes, whereby an attacker convinces victims to visit a URL that refers to a vulnerable site. After the site reflects the attacker's content back to the user, the content is executed and proceeds to transfer private information, such as cookies that might include session information, from the user's machine to the attacker or perform other nefarious activities.

- As in Example 3, the application stores dangerous data in a database or other trusted data store. The dangerous data is subsequently read back into the application and included in dynamic content. Persistent XSS exploits occur when an attacker injects dangerous content into a data store that is later read and included in dynamic content. From an attacker's perspective, the optimal place to inject malicious content is in an area that is displayed to either many users or particularly interesting users. Interesting users typically have elevated privileges in the application or interact with sensitive data that is valuable to the attacker. If one of these users executes malicious content, the attacker may be able to perform privileged operations on behalf of the user or gain access to sensitive data belonging to the user.

A number of modern web frameworks provide mechanisms to perform user input validation (including Struts and Struts 2). To highlight the unvalidated sources of input, Fortify Secure Coding Rulepacks dynamically re-prioritize the issues Fortify Static Code Analyzer reports by lowering their probability of exploit and providing pointers to the supporting evidence whenever the framework validation mechanism is in use. We refer to this feature as Context-Sensitive Ranking. To further assist the Fortify user with the auditing process, the Fortify Software Security Research group makes available the Data Validation project template that groups the issues into folders based on the validation mechanism applied to their source of input.
References
[1] Understanding Malicious Content Mitigation for Web Developers CERT
[2] HTML 4.01 Specification W3
[3] Tongbo Luo, Hao Hao, Wenliang Du, Yifei Wang, and Heng Yin Attacks on WebView in the Android System
[4] Erika Chin and David Wagner Bifocals: Analyzing WebView Vulnerabilities in Android Applications
[5] INJECT-3: XML and HTML generation requires care Oracle
[6] Standards Mapping - Common Weakness Enumeration CWE ID 79, CWE ID 80
[7] Standards Mapping - Common Weakness Enumeration Top 25 2019 [2] CWE ID 079
[8] Standards Mapping - Common Weakness Enumeration Top 25 2020 [1] CWE ID 079
[9] Standards Mapping - Common Weakness Enumeration Top 25 2021 [2] CWE ID 079
[10] Standards Mapping - Common Weakness Enumeration Top 25 2022 [2] CWE ID 079
[11] Standards Mapping - Common Weakness Enumeration Top 25 2023 [2] CWE ID 079
[12] Standards Mapping - Common Weakness Enumeration Top 25 2024 [1] CWE ID 079
[13] Standards Mapping - DISA Control Correlation Identifier Version 2 CCI-001310, CCI-002754
[14] Standards Mapping - FIPS200 SI
[15] Standards Mapping - General Data Protection Regulation (GDPR) Indirect Access to Sensitive Data
[16] Standards Mapping - NIST Special Publication 800-53 Revision 4 SI-10 Information Input Validation (P1)
[17] Standards Mapping - NIST Special Publication 800-53 Revision 5 SI-10 Information Input Validation
[18] Standards Mapping - OWASP Application Security Verification Standard 4.0 5.3.3 Output Encoding and Injection Prevention Requirements (L1 L2 L3), 5.3.6 Output Encoding and Injection Prevention Requirements (L1 L2 L3)
[19] Standards Mapping - OWASP Mobile 2014 M7 Client Side Injection
[20] Standards Mapping - OWASP Mobile 2024 M4 Insufficient Input/Output Validation
[21] Standards Mapping - OWASP Mobile Application Security Verification Standard 2.0 MASVS-CODE-4
[22] Standards Mapping - OWASP Top 10 2004 A4 Cross Site Scripting
[23] Standards Mapping - OWASP Top 10 2007 A1 Cross Site Scripting (XSS)
[24] Standards Mapping - OWASP Top 10 2010 A2 Cross-Site Scripting (XSS)
[25] Standards Mapping - OWASP Top 10 2013 A3 Cross-Site Scripting (XSS)
[26] Standards Mapping - OWASP Top 10 2017 A7 Cross-Site Scripting (XSS)
[27] Standards Mapping - OWASP Top 10 2021 A03 Injection
[28] Standards Mapping - Payment Card Industry Data Security Standard Version 1.1 Requirement 6.5.4
[29] Standards Mapping - Payment Card Industry Data Security Standard Version 1.2 Requirement 6.3.1.1, Requirement 6.5.1
[30] Standards Mapping - Payment Card Industry Data Security Standard Version 2.0 Requirement 6.5.7
[31] Standards Mapping - Payment Card Industry Data Security Standard Version 3.0 Requirement 6.5.7
[32] Standards Mapping - Payment Card Industry Data Security Standard Version 3.1 Requirement 6.5.7
[33] Standards Mapping - Payment Card Industry Data Security Standard Version 3.2 Requirement 6.5.7
[34] Standards Mapping - Payment Card Industry Data Security Standard Version 3.2.1 Requirement 6.5.7
[35] Standards Mapping - Payment Card Industry Data Security Standard Version 4.0 Requirement 6.2.4
[36] Standards Mapping - Payment Card Industry Data Security Standard Version 4.0.1 Requirement 6.2.4
[37] Standards Mapping - Payment Card Industry Software Security Framework 1.0 Control Objective 4.2 - Critical Asset Protection
[38] Standards Mapping - Payment Card Industry Software Security Framework 1.1 Control Objective 4.2 - Critical Asset Protection, Control Objective B.3.1 - Terminal Software Attack Mitigation, Control Objective B.3.1.1 - Terminal Software Attack Mitigation
[39] Standards Mapping - Payment Card Industry Software Security Framework 1.2 Control Objective 4.2 - Critical Asset Protection, Control Objective B.3.1 - Terminal Software Attack Mitigation, Control Objective B.3.1.1 - Terminal Software Attack Mitigation, Control Objective C.3.2 - Web Software Attack Mitigation
[40] Standards Mapping - SANS Top 25 2009 Insecure Interaction - CWE ID 079
[41] Standards Mapping - SANS Top 25 2010 Insecure Interaction - CWE ID 079
[42] Standards Mapping - SANS Top 25 2011 Insecure Interaction - CWE ID 079
[43] Standards Mapping - Security Technical Implementation Guide Version 3.1 APP3510 CAT I, APP3580 CAT I
[44] Standards Mapping - Security Technical Implementation Guide Version 3.4 APP3510 CAT I, APP3580 CAT I
[45] Standards Mapping - Security Technical Implementation Guide Version 3.5 APP3510 CAT I, APP3580 CAT I
[46] Standards Mapping - Security Technical Implementation Guide Version 3.6 APP3510 CAT I, APP3580 CAT I
[47] Standards Mapping - Security Technical Implementation Guide Version 3.7 APP3510 CAT I, APP3580 CAT I
[48] Standards Mapping - Security Technical Implementation Guide Version 3.9 APP3510 CAT I, APP3580 CAT I
[49] Standards Mapping - Security Technical Implementation Guide Version 3.10 APP3510 CAT I, APP3580 CAT I
[50] Standards Mapping - Security Technical Implementation Guide Version 4.2 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[51] Standards Mapping - Security Technical Implementation Guide Version 4.3 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[52] Standards Mapping - Security Technical Implementation Guide Version 4.4 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[53] Standards Mapping - Security Technical Implementation Guide Version 4.5 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[54] Standards Mapping - Security Technical Implementation Guide Version 4.6 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[55] Standards Mapping - Security Technical Implementation Guide Version 4.7 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[56] Standards Mapping - Security Technical Implementation Guide Version 4.8 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[57] Standards Mapping - Security Technical Implementation Guide Version 4.9 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[58] Standards Mapping - Security Technical Implementation Guide Version 4.10 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[59] Standards Mapping - Security Technical Implementation Guide Version 4.11 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[60] Standards Mapping - Security Technical Implementation Guide Version 4.1 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[61] Standards Mapping - Security Technical Implementation Guide Version 5.1 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[62] Standards Mapping - Security Technical Implementation Guide Version 5.2 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[63] Standards Mapping - Security Technical Implementation Guide Version 5.3 APSC-DV-002490 CAT I, APSC-DV-002530 CAT II, APSC-DV-002560 CAT I
[64] Standards Mapping - Security Technical Implementation Guide Version 6.1 APSC-DV-002490 CAT I, APSC-DV-002530 CAT II, APSC-DV-002560 CAT I
[65] Standards Mapping - Web Application Security Consortium Version 2.00 Cross-Site Scripting (WASC-08)
[66] Standards Mapping - Web Application Security Consortium 24 + 2 Cross-Site Scripting
desc.dataflow.java.cross_site_scripting_inter_component_communication
Abstract
Sending unvalidated data to a web browser can result in the browser executing malicious code.
Explanation
Cross-site scripting (XSS) vulnerabilities occur when:

1. Data enters a web application through an untrusted source. In the case of Inter-Component Communication XSS, the untrusted source is data received from other components that reside on the same system. In the mobile environment, these are applications running on the same device. In the case of reflected XSS, the untrusted source is typically a web request, while in the case of persisted (also known as stored) XSS it is typically a database or other back-end data store.


2. The data is included in dynamic content that is sent to a web user without validation.

The malicious content sent to the web browser often takes the form of a JavaScript segment, but can also include HTML, Flash or any other type of code that the browser executes. The variety of attacks based on XSS is almost limitless, but they commonly include transmitting private data such as cookies or other session information to the attacker, redirecting the victim to web content controlled by the attacker, or performing other malicious operations on the user's machine under the guise of the vulnerable site.

Some think that in the mobile environment, classic web application vulnerabilities, such as cross-site scripting, do not make sense -- why would the user attack themself? However, keep in mind that the essence of mobile platforms is applications that are downloaded from various sources and run alongside each other on the same device. The likelihood of running a piece of malware next to a banking application is high, which necessitates expanding the attack surface of mobile applications to include inter-process communication.

Example 1: The following code enables JavaScript in Android's WebView (by default, JavaScript is disabled) and loads a page based on the value received from an Android intent.


...
val webview = findViewById<View>(R.id.webview) as WebView
webview.settings.javaScriptEnabled = true
val url = this.intent.extras!!.getString("url")
webview.loadUrl(url)
...


If the value of url starts with javascript:, JavaScript code that follows executes within the context of the web page inside WebView.

Example 2: The following code reads an employee ID, eid, from an HTTP servlet request, then displays the value back to the user in the servlet's response.


val eid: String = request.getParameter("eid")
...
val out: ServletOutputStream = response.getOutputStream()
out.print("Employee ID: $eid")
...
out.close()
...


The code in this example operates correctly if eid contains only standard alphanumeric text. If eid has a value that includes metacharacters or source code, then the code is executed by the web browser as it displays the HTTP response.

Initially this might not appear to be much of a vulnerability. After all, why would someone enter a URL that causes malicious code to run on their own computer? The real danger is that an attacker will create the malicious URL, then use email or social engineering tricks to lure victims into visiting a link to the URL. When victims click the link, they unwittingly reflect the malicious content through the vulnerable web application back to their own computers. This mechanism of exploiting vulnerable web applications is known as Reflected XSS.

Example 3: The following code segment queries a database for an employee with a given ID and prints the corresponding employee's name in the servlet's response.


val stmt: Statement = conn.createStatement()
val rs: ResultSet = stmt.executeQuery("select * from emp where id=$eid")
rs.next()
val name: String = rs.getString("name")
...
val out: ServletOutputStream = response.getOutputStream()
out.print("Employee Name: $name")
...
out.close()
...


As in Example 2, this code functions correctly when the values of name are well-behaved, but it does nothing to prevent exploits if they are not. Again, this code can appear less dangerous because the value of name is read from a database, whose contents are apparently managed by the application. However, if the value of name originates from user-supplied data, then the database can be a conduit for malicious content. Without proper input validation on all data stored in the database, an attacker may execute malicious commands in the user's web browser. This type of exploit, known as Persistent (or Stored) XSS, is particularly insidious because the indirection caused by the data store makes it difficult to identify the threat and increases the possibility that the attack might affect multiple users. XSS got its start in this form with web sites that offered a "guestbook" to visitors. Attackers would include JavaScript in their guestbook entries, and all subsequent visitors to the guestbook page would execute the malicious code.

As the examples demonstrate, XSS vulnerabilities are caused by code that includes unvalidated data in an HTTP response. There are three vectors by which an XSS attack can reach a victim:

- As in Example 1, a source outside the application stores dangerous data in a database or other data store, and the dangerous data is subsequently read back into the application as trusted data and included in dynamic content.

- As in Example 2, data is read directly from the HTTP request and reflected back in the HTTP response. Reflected XSS exploits occur when an attacker causes a user to supply dangerous content to a vulnerable web application, which is then reflected back to the user and executed by the web browser. The most common mechanism for delivering malicious content is to include it as a parameter in a URL that is posted publicly or emailed directly to victims. URLs constructed in this manner constitute the core of many phishing schemes, whereby an attacker convinces victims to visit a URL that refers to a vulnerable site. After the site reflects the attacker's content back to the user, the content is executed and proceeds to transfer private information, such as cookies that might include session information, from the user's machine to the attacker or perform other nefarious activities.

- As in Example 3, the application stores dangerous data in a database or other trusted data store. The dangerous data is subsequently read back into the application and included in dynamic content. Persistent XSS exploits occur when an attacker injects dangerous content into a data store that is later read and included in dynamic content. From an attacker's perspective, the optimal place to inject malicious content is in an area that is displayed to either many users or particularly interesting users. Interesting users typically have elevated privileges in the application or interact with sensitive data that is valuable to the attacker. If one of these users executes malicious content, the attacker may be able to perform privileged operations on behalf of the user or gain access to sensitive data belonging to the user.


A number of modern web frameworks provide mechanisms to perform user input validation (including Struts and Spring MVC). To highlight the unvalidated sources of input, Fortify Secure Coding Rulepacks dynamically re-prioritize the issues Fortify Static Code Analyzer reports by lowering their probability of exploit and providing pointers to the supporting evidence whenever the framework validation mechanism is in use. We refer to this feature as Context-Sensitive Ranking. To further assist the Fortify user with the auditing process, the Fortify Software Security Research group makes available the Data Validation project template that groups the issues into folders based on the validation mechanism applied to their source of input.
References
[1] Understanding Malicious Content Mitigation for Web Developers CERT
[2] HTML 4.01 Specification W3
[3] Tongbo Luo, Hao Hao, Wenliang Du, Yifei Wang, and Heng Yin Attacks on WebView in the Android System
[4] Erika Chin and David Wagner Bifocals: Analyzing WebView Vulnerabilities in Android Applications
[5] INJECT-3: XML and HTML generation requires care Oracle
[6] Standards Mapping - Common Weakness Enumeration CWE ID 79, CWE ID 80
[7] Standards Mapping - Common Weakness Enumeration Top 25 2019 [2] CWE ID 079
[8] Standards Mapping - Common Weakness Enumeration Top 25 2020 [1] CWE ID 079
[9] Standards Mapping - Common Weakness Enumeration Top 25 2021 [2] CWE ID 079
[10] Standards Mapping - Common Weakness Enumeration Top 25 2022 [2] CWE ID 079
[11] Standards Mapping - Common Weakness Enumeration Top 25 2023 [2] CWE ID 079
[12] Standards Mapping - Common Weakness Enumeration Top 25 2024 [1] CWE ID 079
[13] Standards Mapping - DISA Control Correlation Identifier Version 2 CCI-001310, CCI-002754
[14] Standards Mapping - FIPS200 SI
[15] Standards Mapping - General Data Protection Regulation (GDPR) Indirect Access to Sensitive Data
[16] Standards Mapping - NIST Special Publication 800-53 Revision 4 SI-10 Information Input Validation (P1)
[17] Standards Mapping - NIST Special Publication 800-53 Revision 5 SI-10 Information Input Validation
[18] Standards Mapping - OWASP Application Security Verification Standard 4.0 5.3.3 Output Encoding and Injection Prevention Requirements (L1 L2 L3), 5.3.6 Output Encoding and Injection Prevention Requirements (L1 L2 L3)
[19] Standards Mapping - OWASP Mobile 2014 M7 Client Side Injection
[20] Standards Mapping - OWASP Mobile 2024 M4 Insufficient Input/Output Validation
[21] Standards Mapping - OWASP Mobile Application Security Verification Standard 2.0 MASVS-CODE-4
[22] Standards Mapping - OWASP Top 10 2004 A4 Cross Site Scripting
[23] Standards Mapping - OWASP Top 10 2007 A1 Cross Site Scripting (XSS)
[24] Standards Mapping - OWASP Top 10 2010 A2 Cross-Site Scripting (XSS)
[25] Standards Mapping - OWASP Top 10 2013 A3 Cross-Site Scripting (XSS)
[26] Standards Mapping - OWASP Top 10 2017 A7 Cross-Site Scripting (XSS)
[27] Standards Mapping - OWASP Top 10 2021 A03 Injection
[28] Standards Mapping - Payment Card Industry Data Security Standard Version 1.1 Requirement 6.5.4
[29] Standards Mapping - Payment Card Industry Data Security Standard Version 1.2 Requirement 6.3.1.1, Requirement 6.5.1
[30] Standards Mapping - Payment Card Industry Data Security Standard Version 2.0 Requirement 6.5.7
[31] Standards Mapping - Payment Card Industry Data Security Standard Version 3.0 Requirement 6.5.7
[32] Standards Mapping - Payment Card Industry Data Security Standard Version 3.1 Requirement 6.5.7
[33] Standards Mapping - Payment Card Industry Data Security Standard Version 3.2 Requirement 6.5.7
[34] Standards Mapping - Payment Card Industry Data Security Standard Version 3.2.1 Requirement 6.5.7
[35] Standards Mapping - Payment Card Industry Data Security Standard Version 4.0 Requirement 6.2.4
[36] Standards Mapping - Payment Card Industry Data Security Standard Version 4.0.1 Requirement 6.2.4
[37] Standards Mapping - Payment Card Industry Software Security Framework 1.0 Control Objective 4.2 - Critical Asset Protection
[38] Standards Mapping - Payment Card Industry Software Security Framework 1.1 Control Objective 4.2 - Critical Asset Protection, Control Objective B.3.1 - Terminal Software Attack Mitigation, Control Objective B.3.1.1 - Terminal Software Attack Mitigation
[39] Standards Mapping - Payment Card Industry Software Security Framework 1.2 Control Objective 4.2 - Critical Asset Protection, Control Objective B.3.1 - Terminal Software Attack Mitigation, Control Objective B.3.1.1 - Terminal Software Attack Mitigation, Control Objective C.3.2 - Web Software Attack Mitigation
[40] Standards Mapping - SANS Top 25 2009 Insecure Interaction - CWE ID 079
[41] Standards Mapping - SANS Top 25 2010 Insecure Interaction - CWE ID 079
[42] Standards Mapping - SANS Top 25 2011 Insecure Interaction - CWE ID 079
[43] Standards Mapping - Security Technical Implementation Guide Version 3.1 APP3510 CAT I, APP3580 CAT I
[44] Standards Mapping - Security Technical Implementation Guide Version 3.4 APP3510 CAT I, APP3580 CAT I
[45] Standards Mapping - Security Technical Implementation Guide Version 3.5 APP3510 CAT I, APP3580 CAT I
[46] Standards Mapping - Security Technical Implementation Guide Version 3.6 APP3510 CAT I, APP3580 CAT I
[47] Standards Mapping - Security Technical Implementation Guide Version 3.7 APP3510 CAT I, APP3580 CAT I
[48] Standards Mapping - Security Technical Implementation Guide Version 3.9 APP3510 CAT I, APP3580 CAT I
[49] Standards Mapping - Security Technical Implementation Guide Version 3.10 APP3510 CAT I, APP3580 CAT I
[50] Standards Mapping - Security Technical Implementation Guide Version 4.2 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[51] Standards Mapping - Security Technical Implementation Guide Version 4.3 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[52] Standards Mapping - Security Technical Implementation Guide Version 4.4 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[53] Standards Mapping - Security Technical Implementation Guide Version 4.5 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[54] Standards Mapping - Security Technical Implementation Guide Version 4.6 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[55] Standards Mapping - Security Technical Implementation Guide Version 4.7 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[56] Standards Mapping - Security Technical Implementation Guide Version 4.8 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[57] Standards Mapping - Security Technical Implementation Guide Version 4.9 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[58] Standards Mapping - Security Technical Implementation Guide Version 4.10 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[59] Standards Mapping - Security Technical Implementation Guide Version 4.11 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[60] Standards Mapping - Security Technical Implementation Guide Version 4.1 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[61] Standards Mapping - Security Technical Implementation Guide Version 5.1 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[62] Standards Mapping - Security Technical Implementation Guide Version 5.2 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[63] Standards Mapping - Security Technical Implementation Guide Version 5.3 APSC-DV-002490 CAT I, APSC-DV-002530 CAT II, APSC-DV-002560 CAT I
[64] Standards Mapping - Security Technical Implementation Guide Version 6.1 APSC-DV-002490 CAT I, APSC-DV-002530 CAT II, APSC-DV-002560 CAT I
[65] Standards Mapping - Web Application Security Consortium Version 2.00 Cross-Site Scripting (WASC-08)
[66] Standards Mapping - Web Application Security Consortium 24 + 2 Cross-Site Scripting
desc.dataflow.kotlin.cross_site_scripting_inter_component_communication
Abstract
Sending unvalidated data to a web browser can result in the browser executing malicious code.
Explanation
Cross-site scripting (XSS) vulnerabilities occur when:

1. Data enters a web or mobile application through an untrusted source. In the case of Inter-Component Communication XSS, the untrusted source is data received from other components that reside on the same system. In the mobile world, these are applications running on the same device. In the case of reflected XSS, the untrusted source is typically a web request, while in the case of Persistent (also known as stored) XSS it is typically a database or other back-end data store.


2. The data is included in dynamic content that is sent to a web user without validation.

The malicious content sent to the web browser often takes the form of a JavaScript segment, but can also include HTML, Flash or any other type of code that the browser executes. The variety of attacks based on XSS is almost limitless, but they commonly include transmitting private data such as cookies or other session information to the attacker, redirecting the victim to web content controlled by the attacker, or performing other malicious operations on the user's machine under the guise of the vulnerable site.

Some think that in the mobile environment, classic web application vulnerabilities, such as cross-site scripting, do not make sense -- why would the user attack themself? However, keep in mind that the essence of mobile platforms is applications that are downloaded from various sources and run alongside each other on the same device. The likelihood of running a piece of malware next to a banking application is high, which necessitates expanding the attack surface of mobile applications to include inter-process communication.

Example 1: The following code enables an application to load an html page within a WKWebView with data from a URL request that uses the application's custom URL scheme:

AppDelegate.m:

...
@property (strong, nonatomic) NSString *webContentFromURL;
...
- (BOOL)application:(UIApplication *)application openURL:(NSURL *)url sourceApplication:(NSString *)sourceApplication annotation:(id)annotation {
...
[self setWebContentFromURL:[url host]];
...
...


ViewController.m

...
@property (strong, nonatomic) WKWebView *webView;
...
AppDelegate *appDelegate = (AppDelegate *)[[UIApplication sharedApplication] delegate];
...
[_webView loadHTMLString:appDelegate.webContentFromURL] baseURL:nil];
...


Because the string passed to loadHTMLString: is user-controllable and JavaScript is enabled by default within a WKWebView, the user can write arbitrary content (including executable scripts) to the WKWebView via requests that use app's custom URL scheme.

Example 2: The following code reads the contents of a UITextField and displays it to the user within a WKWebView:


...
@property (strong, nonatomic) WKWebView *webView;
@property (strong, nonatomic) UITextField *inputTextField;
...
[_webView loadHTMLString:_inputTextField.text baseURL:nil];
...


The code in this example operates without issues if the text within inputTextField contains only standard alphanumeric text. If the text within inputTextField includes metacharacters or source code, then the input may be executed as code by the web browser as it displays the HTTP response.

Initially this might not appear to be much of a vulnerability. After all, why would someone provide input that can cause malicious code to run on their own device? The real danger is that an attacker may use email or social engineering tricks to lure victims into performing such actions. When this is successful, the victims unwittingly reflect the malicious content through the vulnerable web application back to their own devices. This mechanism of exploiting vulnerable web applications is known as Reflected XSS.

Example 3: The following code segment queries a database for an employee with a given ID and outputs the value in the display content of a WKWebView.


...
@property (strong, nonatomic) WKWebView *webView;
...
NSFetchRequest *fetchRequest = [[NSFetchRequest alloc] init];
NSEntityDescription *entity = [NSEntityDescription entityForName:@"Employee" inManagedObjectContext:context];
[fetchRequest setEntity:entity];

NSArray *fetchedObjects = [context executeFetchRequest:fetchRequest error:&error];
for (NSManagedObject *info in fetchedObjects) {
NSString msg = @"Hello, " + [info valueForKey:@"name"];
[_webView loadHTMLString:msg baseURL:nil]
...
}
...


As in Example 2, this code functions correctly when the values of name are well-behaved, but it does nothing to prevent exploits if they are not. Again, this code can appear less dangerous because the value of name is read from a database, whose contents are apparently managed by the application. However, if the value of name originates from user-supplied data, then the database can be a conduit for malicious content. Without proper input validation on all data stored in the database, an attacker may execute malicious commands in the user's web browser. This type of exploit, known as Persistent (or Stored) XSS, is particularly insidious because the indirection caused by the data store makes it difficult to identify the threat and increases the possibility that the attack might affect multiple users. XSS got its start in this form with web sites that offered a "guestbook" to visitors. Attackers would include JavaScript in their guestbook entries, and all subsequent visitors to the guestbook page would execute the malicious code.

As the examples demonstrate, XSS vulnerabilities are caused by code that includes unvalidated data in an HTTP response. There are three vectors by which an XSS attack can reach a victim:

- As in Example 1, a source outside the target application makes a URL request using the target application's custom URL scheme, and unvalidated data from the URL request subsequently read back into the application as trusted data and included in dynamic content.

- As in Example 2, data is read directly from a user-controllable UI component and reflected back in the HTTP response. Reflected XSS exploits occur when an attacker causes a user to supply dangerous content to a vulnerable web application, which is then reflected back to the user and executed by the web browser. The most common mechanism for delivering malicious content is to include it as a parameter in a URL that is posted publicly or emailed directly to victims. URLs constructed in this manner constitute the core of many phishing schemes, whereby an attacker convinces victims to visit a URL that refers to a vulnerable site. After the site reflects the attacker's content back to the user, the content is executed and proceeds to transfer private information, such as cookies that might include session information, from the user's machine to the attacker or perform other nefarious activities.

- As in Example 3, the application stores dangerous data in a database or other trusted data store. The dangerous data is subsequently read back into the application and included in dynamic content. Persistent XSS exploits occur when an attacker injects dangerous content into a data store that is later read and included in dynamic content. From an attacker's perspective, the optimal place to inject malicious content is in an area that is displayed to either many users or particularly interesting users. Interesting users typically have elevated privileges in the application or interact with sensitive data that is valuable to the attacker. If one of these users executes malicious content, the attacker may be able to perform privileged operations on behalf of the user or gain access to sensitive data belonging to the user.
References
[1] Understanding Malicious Content Mitigation for Web Developers CERT
[2] HTML 4.01 Specification W3
[3] W/Labs Continued Adventures with iOS UIWebViews
[4] Standards Mapping - Common Weakness Enumeration CWE ID 79, CWE ID 80
[5] Standards Mapping - Common Weakness Enumeration Top 25 2019 [2] CWE ID 079
[6] Standards Mapping - Common Weakness Enumeration Top 25 2020 [1] CWE ID 079
[7] Standards Mapping - Common Weakness Enumeration Top 25 2021 [2] CWE ID 079
[8] Standards Mapping - Common Weakness Enumeration Top 25 2022 [2] CWE ID 079
[9] Standards Mapping - Common Weakness Enumeration Top 25 2023 [2] CWE ID 079
[10] Standards Mapping - Common Weakness Enumeration Top 25 2024 [1] CWE ID 079
[11] Standards Mapping - DISA Control Correlation Identifier Version 2 CCI-001310, CCI-002754
[12] Standards Mapping - FIPS200 SI
[13] Standards Mapping - General Data Protection Regulation (GDPR) Indirect Access to Sensitive Data
[14] Standards Mapping - NIST Special Publication 800-53 Revision 4 SI-10 Information Input Validation (P1)
[15] Standards Mapping - NIST Special Publication 800-53 Revision 5 SI-10 Information Input Validation
[16] Standards Mapping - OWASP Application Security Verification Standard 4.0 5.3.3 Output Encoding and Injection Prevention Requirements (L1 L2 L3), 5.3.6 Output Encoding and Injection Prevention Requirements (L1 L2 L3)
[17] Standards Mapping - OWASP Mobile 2014 M7 Client Side Injection
[18] Standards Mapping - OWASP Mobile 2024 M4 Insufficient Input/Output Validation
[19] Standards Mapping - OWASP Mobile Application Security Verification Standard 2.0 MASVS-CODE-4
[20] Standards Mapping - OWASP Top 10 2004 A4 Cross Site Scripting
[21] Standards Mapping - OWASP Top 10 2007 A1 Cross Site Scripting (XSS)
[22] Standards Mapping - OWASP Top 10 2010 A2 Cross-Site Scripting (XSS)
[23] Standards Mapping - OWASP Top 10 2013 A3 Cross-Site Scripting (XSS)
[24] Standards Mapping - OWASP Top 10 2017 A7 Cross-Site Scripting (XSS)
[25] Standards Mapping - OWASP Top 10 2021 A03 Injection
[26] Standards Mapping - Payment Card Industry Data Security Standard Version 1.1 Requirement 6.5.4
[27] Standards Mapping - Payment Card Industry Data Security Standard Version 1.2 Requirement 6.3.1.1, Requirement 6.5.1
[28] Standards Mapping - Payment Card Industry Data Security Standard Version 2.0 Requirement 6.5.7
[29] Standards Mapping - Payment Card Industry Data Security Standard Version 3.0 Requirement 6.5.7
[30] Standards Mapping - Payment Card Industry Data Security Standard Version 3.1 Requirement 6.5.7
[31] Standards Mapping - Payment Card Industry Data Security Standard Version 3.2 Requirement 6.5.7
[32] Standards Mapping - Payment Card Industry Data Security Standard Version 3.2.1 Requirement 6.5.7
[33] Standards Mapping - Payment Card Industry Data Security Standard Version 4.0 Requirement 6.2.4
[34] Standards Mapping - Payment Card Industry Data Security Standard Version 4.0.1 Requirement 6.2.4
[35] Standards Mapping - Payment Card Industry Software Security Framework 1.0 Control Objective 4.2 - Critical Asset Protection
[36] Standards Mapping - Payment Card Industry Software Security Framework 1.1 Control Objective 4.2 - Critical Asset Protection, Control Objective B.3.1 - Terminal Software Attack Mitigation, Control Objective B.3.1.1 - Terminal Software Attack Mitigation
[37] Standards Mapping - Payment Card Industry Software Security Framework 1.2 Control Objective 4.2 - Critical Asset Protection, Control Objective B.3.1 - Terminal Software Attack Mitigation, Control Objective B.3.1.1 - Terminal Software Attack Mitigation, Control Objective C.3.2 - Web Software Attack Mitigation
[38] Standards Mapping - SANS Top 25 2009 Insecure Interaction - CWE ID 079
[39] Standards Mapping - SANS Top 25 2010 Insecure Interaction - CWE ID 079
[40] Standards Mapping - SANS Top 25 2011 Insecure Interaction - CWE ID 079
[41] Standards Mapping - Security Technical Implementation Guide Version 3.1 APP3510 CAT I, APP3580 CAT I
[42] Standards Mapping - Security Technical Implementation Guide Version 3.4 APP3510 CAT I, APP3580 CAT I
[43] Standards Mapping - Security Technical Implementation Guide Version 3.5 APP3510 CAT I, APP3580 CAT I
[44] Standards Mapping - Security Technical Implementation Guide Version 3.6 APP3510 CAT I, APP3580 CAT I
[45] Standards Mapping - Security Technical Implementation Guide Version 3.7 APP3510 CAT I, APP3580 CAT I
[46] Standards Mapping - Security Technical Implementation Guide Version 3.9 APP3510 CAT I, APP3580 CAT I
[47] Standards Mapping - Security Technical Implementation Guide Version 3.10 APP3510 CAT I, APP3580 CAT I
[48] Standards Mapping - Security Technical Implementation Guide Version 4.2 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[49] Standards Mapping - Security Technical Implementation Guide Version 4.3 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[50] Standards Mapping - Security Technical Implementation Guide Version 4.4 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[51] Standards Mapping - Security Technical Implementation Guide Version 4.5 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[52] Standards Mapping - Security Technical Implementation Guide Version 4.6 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[53] Standards Mapping - Security Technical Implementation Guide Version 4.7 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[54] Standards Mapping - Security Technical Implementation Guide Version 4.8 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[55] Standards Mapping - Security Technical Implementation Guide Version 4.9 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[56] Standards Mapping - Security Technical Implementation Guide Version 4.10 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[57] Standards Mapping - Security Technical Implementation Guide Version 4.11 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[58] Standards Mapping - Security Technical Implementation Guide Version 4.1 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[59] Standards Mapping - Security Technical Implementation Guide Version 5.1 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[60] Standards Mapping - Security Technical Implementation Guide Version 5.2 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[61] Standards Mapping - Security Technical Implementation Guide Version 5.3 APSC-DV-002490 CAT I, APSC-DV-002530 CAT II, APSC-DV-002560 CAT I
[62] Standards Mapping - Security Technical Implementation Guide Version 6.1 APSC-DV-002490 CAT I, APSC-DV-002530 CAT II, APSC-DV-002560 CAT I
[63] Standards Mapping - Web Application Security Consortium Version 2.00 Cross-Site Scripting (WASC-08)
[64] Standards Mapping - Web Application Security Consortium 24 + 2 Cross-Site Scripting
desc.dataflow.objc.cross_site_scripting_inter_component_communication
Abstract
Sending unvalidated data to a web browser can result in the browser executing malicious code.
Explanation
Cross-site scripting (XSS) vulnerabilities occur when:

1. Data enters a web or mobile application through an untrusted source. In the case of Inter-Component Communication XSS, the untrusted source is data received from other components that reside on the same system. In the mobile world, these are applications running on the same device. In the case of reflected XSS, the untrusted source is typically a web request, while in the case of Persistent (also known as stored) XSS it is typically a database or other back-end data store.


2. The data is included in dynamic content that is sent to a web user without validation.

The malicious content sent to the web browser often takes the form of a JavaScript segment, but can also include HTML, Flash or any other type of code that the browser executes. The variety of attacks based on XSS is almost limitless, but they commonly include transmitting private data such as cookies or other session information to the attacker, redirecting the victim to web content controlled by the attacker, or performing other malicious operations on the user's machine under the guise of the vulnerable site.

Some think that in the mobile environment, classic web application vulnerabilities, such as cross-site scripting, do not make sense -- why would the user attack themself? However, keep in mind that the essence of mobile platforms is applications that are downloaded from various sources and run alongside each other on the same device. The likelihood of running a piece of malware next to a banking application is high, which necessitates expanding the attack surface of mobile applications to include inter-process communication.

Example 1: The following code enables an application to load an html page within a WKWebView with data from a URL request that uses the application's custom URL scheme:


...
func application(app: UIApplication, openURL url: NSURL, options: [String : AnyObject]) -> Bool {
...
let name = getQueryStringParameter(url.absoluteString, "name")
let html = "Hi \(name)"
let webView = WKWebView()
webView.loadHTMLString(html, baseURL:nil)
...
}
func getQueryStringParameter(url: String?, param: String) -> String? {
if let url = url, urlComponents = NSURLComponents(string: url), queryItems = (urlComponents.queryItems as? [NSURLQueryItem]) {
return queryItems.filter({ (item) in item.name == param }).first?.value!
}
return nil
}
...


Because the string passed to loadHTMLString: is user-controllable and JavaScript is enabled by default within a WKWebView, the user can write arbitrary content (including executable scripts) to the WKWebView via requests that use app's custom URL scheme.

Example 2: The following code reads the contents of a UITextField and displays it to the user within a WKWebView:


...
let webView : WKWebView
let inputTextField : UITextField
webView.loadHTMLString(inputTextField.text, baseURL:nil)
...


The code in this example operates without issues if the text within inputTextField contains only standard alphanumeric text. If the text within inputTextField includes metacharacters or source code, then the input may be executed as code by the web browser as it displays the HTTP response.

Initially this might not appear to be much of a vulnerability. After all, why would someone provide input that can cause malicious code to run on their own device? The real danger is that an attacker may use email or social engineering tricks to lure victims into performing such actions. When this is successful, the victims unwittingly reflect the malicious content through the vulnerable web application back to their own devices. This mechanism of exploiting vulnerable web applications is known as Reflected XSS.

Example 3: The following code segment queries a database for an employee with a given ID and outputs the value in the display content of a WKWebView.


let fetchRequest = NSFetchRequest()
let entity = NSEntityDescription.entityForName("Employee", inManagedObjectContext: managedContext)
fetchRequest.entity = entity
do {
let results = try managedContext.executeFetchRequest(fetchRequest)
let result : NSManagedObject = results.first!
let name : String = result.valueForKey("name")
let msg : String = "Hello, \(name)"
let webView : UIWebView = UIWebView()
webView.loadHTMLString(msg, baseURL:nil)
} catch let error as NSError {
print("Error \(error)")
}


As in Example 2, this code functions correctly when the values of name are well-behaved, but it does nothing to prevent exploits if they are not. Again, this code can appear less dangerous because the value of name is read from a database, whose contents are apparently managed by the application. However, if the value of name originates from user-supplied data, then the database can be a conduit for malicious content. Without proper input validation on all data stored in the database, an attacker may execute malicious commands in the user's web browser. This type of exploit, known as Persistent (or Stored) XSS, is particularly insidious because the indirection caused by the data store makes it difficult to identify the threat and increases the possibility that the attack might affect multiple users. XSS got its start in this form with web sites that offered a "guestbook" to visitors. Attackers would include JavaScript in their guestbook entries, and all subsequent visitors to the guestbook page would execute the malicious code.

As the examples demonstrate, XSS vulnerabilities are caused by code that includes unvalidated data in an HTTP response. There are three vectors by which an XSS attack can reach a victim:

- As in Example 1, a source outside the target application makes a URL request using the target application's custom URL scheme, and unvalidated data from the URL request subsequently read back into the application as trusted data and included in dynamic content.

- As in Example 2, data is read directly from a user-controllable UI component and reflected back in the HTTP response. Reflected XSS exploits occur when an attacker causes a user to supply dangerous content to a vulnerable web application, which is then reflected back to the user and executed by the web browser. The most common mechanism for delivering malicious content is to include it as a parameter in a URL that is posted publicly or emailed directly to victims. URLs constructed in this manner constitute the core of many phishing schemes, whereby an attacker convinces victims to visit a URL that refers to a vulnerable site. After the site reflects the attacker's content back to the user, the content is executed and proceeds to transfer private information, such as cookies that might include session information, from the user's machine to the attacker or perform other nefarious activities.

- As in Example 3, the application stores dangerous data in a database or other trusted data store. The dangerous data is subsequently read back into the application and included in dynamic content. Persistent XSS exploits occur when an attacker injects dangerous content into a data store that is later read and included in dynamic content. From an attacker's perspective, the optimal place to inject malicious content is in an area that is displayed to either many users or particularly interesting users. Interesting users typically have elevated privileges in the application or interact with sensitive data that is valuable to the attacker. If one of these users executes malicious content, the attacker may be able to perform privileged operations on behalf of the user or gain access to sensitive data belonging to the user.
References
[1] Understanding Malicious Content Mitigation for Web Developers CERT
[2] HTML 4.01 Specification W3
[3] W/Labs Continued Adventures with iOS UIWebViews
[4] Standards Mapping - Common Weakness Enumeration CWE ID 79, CWE ID 80
[5] Standards Mapping - Common Weakness Enumeration Top 25 2019 [2] CWE ID 079
[6] Standards Mapping - Common Weakness Enumeration Top 25 2020 [1] CWE ID 079
[7] Standards Mapping - Common Weakness Enumeration Top 25 2021 [2] CWE ID 079
[8] Standards Mapping - Common Weakness Enumeration Top 25 2022 [2] CWE ID 079
[9] Standards Mapping - Common Weakness Enumeration Top 25 2023 [2] CWE ID 079
[10] Standards Mapping - Common Weakness Enumeration Top 25 2024 [1] CWE ID 079
[11] Standards Mapping - DISA Control Correlation Identifier Version 2 CCI-001310, CCI-002754
[12] Standards Mapping - FIPS200 SI
[13] Standards Mapping - General Data Protection Regulation (GDPR) Indirect Access to Sensitive Data
[14] Standards Mapping - NIST Special Publication 800-53 Revision 4 SI-10 Information Input Validation (P1)
[15] Standards Mapping - NIST Special Publication 800-53 Revision 5 SI-10 Information Input Validation
[16] Standards Mapping - OWASP Application Security Verification Standard 4.0 5.3.3 Output Encoding and Injection Prevention Requirements (L1 L2 L3), 5.3.6 Output Encoding and Injection Prevention Requirements (L1 L2 L3)
[17] Standards Mapping - OWASP Mobile 2014 M7 Client Side Injection
[18] Standards Mapping - OWASP Mobile 2024 M4 Insufficient Input/Output Validation
[19] Standards Mapping - OWASP Mobile Application Security Verification Standard 2.0 MASVS-CODE-4
[20] Standards Mapping - OWASP Top 10 2004 A4 Cross Site Scripting
[21] Standards Mapping - OWASP Top 10 2007 A1 Cross Site Scripting (XSS)
[22] Standards Mapping - OWASP Top 10 2010 A2 Cross-Site Scripting (XSS)
[23] Standards Mapping - OWASP Top 10 2013 A3 Cross-Site Scripting (XSS)
[24] Standards Mapping - OWASP Top 10 2017 A7 Cross-Site Scripting (XSS)
[25] Standards Mapping - OWASP Top 10 2021 A03 Injection
[26] Standards Mapping - Payment Card Industry Data Security Standard Version 1.1 Requirement 6.5.4
[27] Standards Mapping - Payment Card Industry Data Security Standard Version 1.2 Requirement 6.3.1.1, Requirement 6.5.1
[28] Standards Mapping - Payment Card Industry Data Security Standard Version 2.0 Requirement 6.5.7
[29] Standards Mapping - Payment Card Industry Data Security Standard Version 3.0 Requirement 6.5.7
[30] Standards Mapping - Payment Card Industry Data Security Standard Version 3.1 Requirement 6.5.7
[31] Standards Mapping - Payment Card Industry Data Security Standard Version 3.2 Requirement 6.5.7
[32] Standards Mapping - Payment Card Industry Data Security Standard Version 3.2.1 Requirement 6.5.7
[33] Standards Mapping - Payment Card Industry Data Security Standard Version 4.0 Requirement 6.2.4
[34] Standards Mapping - Payment Card Industry Data Security Standard Version 4.0.1 Requirement 6.2.4
[35] Standards Mapping - Payment Card Industry Software Security Framework 1.0 Control Objective 4.2 - Critical Asset Protection
[36] Standards Mapping - Payment Card Industry Software Security Framework 1.1 Control Objective 4.2 - Critical Asset Protection, Control Objective B.3.1 - Terminal Software Attack Mitigation, Control Objective B.3.1.1 - Terminal Software Attack Mitigation
[37] Standards Mapping - Payment Card Industry Software Security Framework 1.2 Control Objective 4.2 - Critical Asset Protection, Control Objective B.3.1 - Terminal Software Attack Mitigation, Control Objective B.3.1.1 - Terminal Software Attack Mitigation, Control Objective C.3.2 - Web Software Attack Mitigation
[38] Standards Mapping - SANS Top 25 2009 Insecure Interaction - CWE ID 079
[39] Standards Mapping - SANS Top 25 2010 Insecure Interaction - CWE ID 079
[40] Standards Mapping - SANS Top 25 2011 Insecure Interaction - CWE ID 079
[41] Standards Mapping - Security Technical Implementation Guide Version 3.1 APP3510 CAT I, APP3580 CAT I
[42] Standards Mapping - Security Technical Implementation Guide Version 3.4 APP3510 CAT I, APP3580 CAT I
[43] Standards Mapping - Security Technical Implementation Guide Version 3.5 APP3510 CAT I, APP3580 CAT I
[44] Standards Mapping - Security Technical Implementation Guide Version 3.6 APP3510 CAT I, APP3580 CAT I
[45] Standards Mapping - Security Technical Implementation Guide Version 3.7 APP3510 CAT I, APP3580 CAT I
[46] Standards Mapping - Security Technical Implementation Guide Version 3.9 APP3510 CAT I, APP3580 CAT I
[47] Standards Mapping - Security Technical Implementation Guide Version 3.10 APP3510 CAT I, APP3580 CAT I
[48] Standards Mapping - Security Technical Implementation Guide Version 4.2 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[49] Standards Mapping - Security Technical Implementation Guide Version 4.3 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[50] Standards Mapping - Security Technical Implementation Guide Version 4.4 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[51] Standards Mapping - Security Technical Implementation Guide Version 4.5 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[52] Standards Mapping - Security Technical Implementation Guide Version 4.6 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[53] Standards Mapping - Security Technical Implementation Guide Version 4.7 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[54] Standards Mapping - Security Technical Implementation Guide Version 4.8 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[55] Standards Mapping - Security Technical Implementation Guide Version 4.9 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[56] Standards Mapping - Security Technical Implementation Guide Version 4.10 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[57] Standards Mapping - Security Technical Implementation Guide Version 4.11 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[58] Standards Mapping - Security Technical Implementation Guide Version 4.1 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[59] Standards Mapping - Security Technical Implementation Guide Version 5.1 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[60] Standards Mapping - Security Technical Implementation Guide Version 5.2 APSC-DV-002490 CAT I, APSC-DV-002560 CAT I
[61] Standards Mapping - Security Technical Implementation Guide Version 5.3 APSC-DV-002490 CAT I, APSC-DV-002530 CAT II, APSC-DV-002560 CAT I
[62] Standards Mapping - Security Technical Implementation Guide Version 6.1 APSC-DV-002490 CAT I, APSC-DV-002530 CAT II, APSC-DV-002560 CAT I
[63] Standards Mapping - Web Application Security Consortium Version 2.00 Cross-Site Scripting (WASC-08)
[64] Standards Mapping - Web Application Security Consortium 24 + 2 Cross-Site Scripting
desc.dataflow.swift.cross_site_scripting_inter_component_communication