Weakness (CWE)
CWE-338: Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)
The product uses a Pseudo-Random Number Generator (PRNG) in a security context, but the PRNG's algorithm is not cryptographically strong.
More detail
When a non-cryptographic PRNG is used in a cryptographic context, it can expose the cryptography to certain types of attacks.
Often a pseudo-random number generator (PRNG) is not designed for cryptography. Sometimes a mediocre source of randomness is sufficient or preferable for algorithms that use random numbers. Weak generators generally take less processing power and/or do not use the precious, finite, entropy sources on a system. While such PRNGs might have very useful features, these same features could be used to break the cryptography.
How to prevent it (1 mitigation)
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Implementation
Use functions or hardware which use a hardware-based random number generation for all crypto. This is the recommended solution. Use CyptGenRandom on Windows, or hw_rand() on Linux.
Source: MITRE CWE-338
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Low 3.7
IPv6 stable and temporary interface identifiers derived from a non-cryptographic PRNG secret key
The IPv6 stack derived the long-lived secret key used to compute RFC 7217 stable interface identifiers (gen_stable_iid() in subsys/net/ip/ipv6.c) and RFC 8981 temporary interface identifiers (gen_temporary_iid() in subsys/net/ip/ipv6_pe.c) with sys_rand_get()…
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Low 3.7
diem-project diem dmString.php random weak prng
A vulnerability was identified in diem-project diem up to 116974edfb9a5b8bd69cb13586dc62bcdbb485ad. This vulnerability affects the function dmString::random of the file dmCorePlugin/lib/basic/dmString.php. Such manipulation leads to cryptographically weak prn…
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Low 3.7
AsyncHttpClient: Digest authentication cnonce generated with a non-cryptographic random source
The AsyncHttpClient (AHC) library allows Java applications to easily execute HTTP requests and asynchronously process HTTP responses. Prior to 3.0.12 and 2.16.1, Realm.Builder generates the HTTP Digest client nonce with ThreadLocalRandom rather than a cryptog…
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Low 3.7
openssl_encrypt before 1.4.0 Insecure Random Import in PQC Module
openssl_encrypt before 1.4.0 imports Python's non-cryptographic 'random' module (Mersenne Twister PRNG) at line 15 of openssl_encrypt/modules/pqc.py. No direct calls to random.* were present in the code, so no cryptographic operation is currently affected; ho…
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Low 2.9
FreshRSS has weak cryptographic randomness in remember-me token and nonce generation
FreshRSS is a free, self-hostable RSS aggregator. Prior to version 1.28.0, FreshRSS uses cryptographically weak random number generators (mt_rand() and uniqid()) to generate remember-me authentication tokens and challenge-response nonces. This allows attacker…
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Low 3.1
Formidable relies on hexoid to prevent guessing of filenames for untrusted executable content
Formidable (aka node-formidable) 2.1.0 through 3.x before 3.5.3 relies on hexoid to prevent guessing of filenames for untrusted executable content; however, hexoid is documented as not "cryptographically secure." (Also, there is a scenario in which only the l…
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Low 1.9
Generation of weak and predictable Initialization Vector (IV) in PMFW (Power Management Firmware) may allow an attacker…
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Low 2.4
A flawed pseudorandom number generator in Dominion Voting Systems ImageCast Precinct (ICP and ICP2) and ImageCast Evolu…
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Low 3.5
Insecure randomness for default password in nextcloud
Nextcloud server is an open source home cloud implementation. In affected versions the generated fallback password when creating a share was using a weak complexity random number generator, so when the sharer did not change it the password could be guessable …
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Low 3.7
Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) in Ratpack
Ratpack versions before 1.6.1 generate a session ID using a cryptographically weak PRNG in the JDK's ThreadLocalRandom. This means that if an attacker can determine a small window for the server start time and obtain a session ID value, they can theoretically…