Insecure Randomness: Hardcoded Seed

Functions that generate random or pseudorandom values, which are passed a seed, should not be called with a constant argument.

Functions that generate random or pseudorandom values, which are passed a seed, should not be called with a constant argument. If a pseudorandom number generator (such as CL_ABAP_RANDOM class or its variants) is seeded with a specific constant value, the values returned by GET_NEXT, INT and similar methods which return or assign values are predictable for an attacker that can collect a number of PRNG outputs.

Example 1: In the following excerpt, the values produced by the object random_gen2 are predictable from the object random_gen1.

		DATA: random_gen1 TYPE REF TO cl_abap_random,
			  random_gen2 TYPE REF TO cl_abap_random,
			  var1 TYPE i,
			  var2 TYPE i.

		random_gen1 = cl_abap_random=>create( seed = '1234' ).

		DO 10 TIMES.
			CALL METHOD random_gen1->int
				RECEIVING
			value  = var1.

			WRITE:/ var1.
		ENDDO.

		random_gen2 = cl_abap_random=>create( seed = '1234' ).

		DO 10 TIMES.
			CALL METHOD random_gen2->int
				RECEIVING
			value  = var2.

			WRITE:/ var2.
		ENDDO.

In this example, pseudorandom number generators: random_gen1 and random_gen2 were identically seeded, so var1 = var2

Functions that generate random or pseudorandom values, which are passed a seed, should not be called with a constant argument.

Functions that generate random or pseudorandom values, which are passed a seed, should not be called with a constant argument. If a pseudorandom number generator (such as rand()) is seeded with a specific value (using a function like srand(unsigned int)), the values returned by rand() and similar methods which return or assign values are predictable for an attacker that can collect a number of PRNG outputs.

Example 1: The values produced by the pseudorandom number generator are predictable in the first two blocks because both start with the same seed.

        srand(2223333);
        float randomNum = (rand() % 100);
        syslog(LOG_INFO, "Random: %1.2f", randomNum);
        randomNum = (rand() % 100);
        syslog(LOG_INFO, "Random: %1.2f", randomNum);

        srand(2223333);
        float randomNum2 = (rand() % 100);
        syslog(LOG_INFO, "Random: %1.2f", randomNum2);
        randomNum2 = (rand() % 100);
        syslog(LOG_INFO, "Random: %1.2f", randomNum2);

        srand(1231234);
        float randomNum3 = (rand() % 100);
        syslog(LOG_INFO, "Random: %1.2f", randomNum3);
        randomNum3 = (rand() % 100);
        syslog(LOG_INFO, "Random: %1.2f", randomNum3);

In this example the results for randomNum1 and randomNum2 were identically seeded, so each call to rand() after the call which seeds the pseudorandom number generator srand(2223333), will result in the same outputs in the same calling order. For example, the output might resemble the following:

Random: 32.00
Random: 73.00
Random: 32.00
Random: 73.00
Random: 15.00
Random: 75.00

These results are far from random.

Functions that generate random or pseudorandom values, which are passed a seed, should not be called with a constant argument.

Functions that generate random or pseudorandom values, which are passed a seed, should not be called with a constant argument. If a pseudorandom number generator (PRNG) is seeded with a specific value (using functions such as math.Rand.New(Source)), the values returned by math.Rand.Int() and similar methods which return or assign values are predictable for an attacker that can collect a number of PRNG outputs.

Example 1: The values produced by the pseudorandom number generator are predictable in the first two blocks because both start with the same seed.

  randomGen := rand.New(rand.NewSource(12345))
  randomInt1 := randomGen.nextInt()
  
  randomGen.Seed(12345)
  randomInt2 := randomGen.nextInt()

In this example, the PRNGs were identically seeded, so each call to nextInt() after the call that seeded the pseudorandom number generator (randomGen.Seed(12345)), results in the same outputs and in the same order.

Functions that generate random or pseudorandom values, which are passed a seed, should not be called with a constant argument.

Functions that generate random or pseudorandom values, which are passed a seed, should not be called with a constant argument. If a pseudorandom number generator (such as Random) is seeded with a specific value (using function such as Random(Int)), the values returned by Random.nextInt() and similar methods which return or assign values are predictable for an attacker that can collect a number of PRNG outputs.

Example 1: The values produced by the Random object randomGen2 are predictable from the Random object randomGen1.

        val randomGen1 = Random(12345)
        val randomInt1 = randomGen1.nextInt()
        val byteArray1 = ByteArray(4)
        randomGen1.nextBytes(byteArray1)

        val randomGen2 = Random(12345)
        val randomInt2 = randomGen2.nextInt()
        val byteArray2 = ByteArray(4)
        randomGen2.nextBytes(byteArray2)

In this example, pseudorandom number generators: randomGen1 and randomGen2 were identically seeded, so randomInt1 == randomInt2, and corresponding values of arrays byteArray1 and byteArray2 are equal.

Functions that generate random or pseudorandom values, which are passed a seed, should not be called with a constant integer argument.

Functions that generate pseudorandom values, which are passed a seed, should not be called with a constant integer argument. If a pseudorandom number generator is seeded with a specific value, the values returned are predictable.

Example 1: The values produced by the pseudorandom number generator are predictable in the first two blocks because both start with the same seed.

...
import random
random.seed(123456)
print "Random: %d" % random.randint(1,100)
print "Random: %d" % random.randint(1,100)
print "Random: %d" % random.randint(1,100)

random.seed(123456)
print "Random: %d" % random.randint(1,100)
print "Random: %d" % random.randint(1,100)
print "Random: %d" % random.randint(1,100)
...

In this example the PRNGs were identically seeded, so each call to randint() after the call that seeded the pseudorandom number generator (random.seed(123456)), will result in the same outputs in the same output in the same order. For example, the output might resemble the following:

Random: 81
Random: 80
Random: 3
Random: 81
Random: 80
Random: 3

These results are far from random.

Functions that generate random or pseudorandom values, which are passed a seed, should not be called with a constant argument.

Functions that generate random or pseudorandom values, which are passed a seed, should not be called with a constant argument. If a pseudorandom number generator (such as Random) is seeded with a specific value (using a function like Random.setSeed()), the values returned by Random.nextInt() and similar methods which return or assign values are predictable for an attacker that can collect a number of PRNG outputs.

Example 1: The values produced by the Random object randomGen2 are predictable from the Random object randomGen1.

        val randomGen1 = new Random()
        randomGen1.setSeed(12345)
        val randomInt1 = randomGen1.nextInt()
        val bytes1 = new byte[4]
        randomGen1.nextBytes(bytes1)

        val randomGen2 = new Random()
        randomGen2.setSeed(12345)
        val randomInt2 = randomGen2.nextInt()
        val bytes2 = new byte[4]
        randomGen2.nextBytes(bytes2)

In this example, pseudorandom number generators: randomGen1 and randomGen2 were identically seeded, so randomInt1 == randomInt2, and corresponding values of arrays bytes1[] and bytes2[] are equal.