CVE-2023-31305
Raw vector
CVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:U/C:L/I:N/A:NSummary
CVE-2023-31305 is a low-severity PRNG (CWE-338) vulnerability in Amd (inferred from references). Its CVSS base score is 1.9 (Low).
Operationally, ranked at the 3th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-35616
Vulnerability Data
Generation of weak and predictable Initialization Vector (IV) in PMFW (Power Management Firmware) may allow an attacker with privileges to reuse IV values to reverse-engineer debug data, potentially resulting in information disclosure.
- CWE(s)
Related Threats
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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- 3 hardening rules · 3 OS baselines
V7.2.3V11.5.1
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Security associations share details on cryptographically weak PRNGs, helping avoid their implementation in security-critical functions.
Cryptographic key management standards require cryptographically strong PRNGs for key material, blocking use of weak generators.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices explicitly require cryptographically strong RNG selection and usage in security contexts.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Mandates use of approved cryptographic controls, directly requiring cryptographically strong RNGs.
Security testing can detect use of weak random number generators.
Secure SDLC processes should catch weak PRNG usage during design and code review.
Application security requirements can specify cryptographically strong random number generation.
Secure engineering principles include selection of appropriate cryptographic primitives.
Secure coding standards prohibit use of weak PRNGs in security contexts.