The application uses an insecure pseudo-random number generator (PRNG). The generated sequence of numbers is predictable. Examples of insecure PRNG: rand, drand48, erand48, jrand48, lcong48, lrand48, mrand48, nrand48, rand_r, random.

PRNGs generate number sequences based on the initial value of the seed. There are two types of PRNG: statistical and cryptographic. Statistical PRNGs generate predictable sequences, which are similar to random according to the statistical characteristics. They must not be used for security purposes. The result of the cryptographic PRNG, on the contrary, is impossible to predict if the value of seed is derived from a source with high entropy. The value of the current time has a small entropy and is also insecure as a seed.

These functions generate predictable sequences and must not be used for information security purposes.

C or C++ : Mutex double unlock

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