CWE-336 Same Seed in a PRNG: Identical Output Every Run
Seeding a generator with a constant gives the same sequence on every start. CWE-336 explained in brief, with the fix.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Seeding a generator with a constant gives the same sequence on every start. CWE-336 explained in brief, with the fix.
A pseudo-random generator is only as strong as its seed. CWE-335 covers unseeded, reused and guessable seeds, with real examples and fixes.
If the number of possible values is too small, attackers just try them all. CWE-334 explained, with real cases from tokens, filenames and TCP cookies.
True random generators have limited output and can block or fail. CWE-333 is about code that crashes or hangs when the supply of random numbers runs dry.
A pseudo-random generator fed too little entropy can crash, stall or fall back to something insecure. CWE-332 explained, with mitigations from MITRE.
When a generator leaves patterns or clusters, some values are likelier than others and attackers exploit that. CWE-331 explained with practical fixes.
Session IDs, reset tokens and keys all depend on unpredictable numbers. CWE-330 shows how weak randomness breaks them and how to generate values safely.
Four dots can act like several parent hops on some Windows systems and slip past filters that only know about two. How CWE-33 works, with MITRE's observed cases and a fix.
CBC mode needs an unpredictable initialization vector. CWE-329 covers fixed, null and predictable IVs and the NIST recommended ways to generate them.
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