Weakness (CWE)
CWE-332: Insufficient Entropy in PRNG
The lack of entropy available for, or used by, a Pseudo-Random Number Generator (PRNG) can be a stability and security threat.
How to prevent it (3 mitigations)
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Architecture and Design, Requirements
Use products or modules that conform to FIPS 140-2 [REF-267] to avoid obvious entropy problems. Consult FIPS 140-2 Annex C ("Approved Random Number Generators").
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Implementation
Consider a PRNG that re-seeds itself as needed from high-quality pseudo-random output, such as hardware devices.
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Architecture and Design
When deciding which PRNG to use, look at its sources of entropy. Depending on what your security needs are, you may need to use a random number generator that always uses strong random data -- i.e., a random number generator that attempts to be strong but will fail in a weak way or will always provide some middle ground of protection through techniques like re-seeding. Generally, something that always provides a predictable amount of strength is preferable.
Source: MITRE CWE-332
9 results · Feed
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High 7.4
Timing limitations of the HRNG in RS9116 when power save mode is enabled results in predictable values
Timing limitations of the HRNG in RS9116 when power save mode is enabled results in predictable values
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Medium 5.3
Cisco Adaptive Security Appliance Software and Firepower Threat Defense Software Low-Entropy Keys Vulnerability
A vulnerability in the deterministic random bit generator (DRBG), also known as pseudorandom number generator (PRNG), in Cisco Adaptive Security Appliance (ASA) Software and Cisco Firepower Threat Defense (FTD) Software for Cisco ASA 5506-X, ASA 5508-X, and A…
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High 8.8
Cryptographically weak random number generation in github.com/dinever/golf
CSRF tokens are generated using math/rand, which is not a cryptographically secure random number generator, allowing an attacker to predict values and bypass CSRF protections with relatively few requests.
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Medium 5.3
Cisco Adaptive Security Appliance Software and Firepower Threat Defense Software Low-Entropy Keys Vulnerability
A vulnerability in the Deterministic Random Bit Generator (DRBG), also known as Pseudorandom Number Generator (PRNG), used in Cisco Adaptive Security Appliance (ASA) Software and Cisco Firepower Threat Defense (FTD) Software could allow an unauthenticated, re…
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Critical 9.8
HashiCorp Terraform Amazon Web Services (AWS) uses an insecure PRNG
aws/resource_aws_iam_user_login_profile.go in the HashiCorp Terraform Amazon Web Services (AWS) provider through v1.12.0 has an inappropriate PRNG algorithm and seeding, which makes it easier for remote attackers to obtain access by leveraging an IAM account …
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Low 2.6
In BlackBerry QNX Software Development Platform (SDP) 6.6.0 and 6.5.0 SP1 and earlier, a loss of integrity vulnerabilit…
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Unscored —
Siemens Desigo PX Web modules PXA40-W0, PXA40-W1, PXA40-W2 for Desigo PX automation controllers PXC00-E.D, PXC50-E.D, P…
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High 7.5
Symfony Cryptographic Vulnerability
The nextBytes function in the SecureRandom class in Symfony before 2.3.37, 2.6.x before 2.6.13, and 2.7.x before 2.7.9 does not properly generate random numbers when used with PHP 5.x without the paragonie/random_compat library and the openssl_random_pseudo_b…
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High 7.5
PyCrypto does not properly reseed PRNG before allowing access
The Crypto.Random.atfork function in PyCrypto before 2.6.1 does not properly reseed the pseudo-random number generator (PRNG) before allowing a child process to access it, which makes it easier for context-dependent attackers to obtain sensitive information b…