CVE-2025-32056
Raw vector
CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:NSummary
CVE-2025-32056 is a medium-severity Use of Predictable Algorithm in Random Number Generator (CWE-1241) vulnerability in Blackhat (inferred from references). Its CVSS base score is 4.0 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Brute Force (T1110); ranked at the 24th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SC-13 (Cryptographic Protection) and SA-8 (Security and Privacy Engineering Principles) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-4127
Vulnerability Data
The anti-theft protection mechanism can be bypassed by attackers due to weak response generation algorithms for the head unit. It is possible to reveal all 32 corresponding responses by sniffing CAN traffic or by pre-calculating the values, which allow to…
more
bypass the protection. First identified on Nissan Leaf ZE1 manufactured in 2020.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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- 5 hardening rules · 2 OS baselines
V6.5.3V7.2.3V11.5.1V11.5.2
Mitigating Controls (NIST 800-53 r5) AI
Specifying required cryptographic mechanisms and algorithms precludes predictable RNG implementations.
Security engineering principles require selection of cryptographically secure RNG algorithms instead of predictable ones.
Cryptographic key establishment and management mandates use of unpredictable random values for key material.
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 directly require cryptographically strong RNGs, preventing predictable algorithms at design time.
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.
Security testing can detect predictable RNG behavior before deployment.
Mandates use of approved cryptographic algorithms and RNGs, directly preventing predictable PRNGs.
Secure SDLC requires vetted RNG components, reducing likelihood of predictable algorithms.
Secure engineering principles include selection of cryptographically strong random number generators.
Secure coding standards prohibit use of weak or predictable RNG functions.
Hardening callouts derived
Configuration rules from DISA STIG baselines that bear on weaknesses of the type cited by this CVE. Each rule is shown with the relationship its mapping actually records, against the CWE it was authored against. Derived via CVE→CWE over `controls_xwalks` (authoritative rows only; rows rated `none` are excluded).
Oracle Linux 8 (2 rules)
- V-248600 OL 8 must have the packages required to use the hardware random number generator entropy gatherer service. prevents CWE-1241
- V-248563 The OL 8 SSH server must be configured to use strong entropy. prevents CWE-1241
RHEL 8 (2 rules)
- V-230253 RHEL 8 must ensure the SSH server uses strong entropy. prevents CWE-1241
- V-244527 RHEL 8 must have the packages required to use the hardware random number generator entropy gatherer service. prevents CWE-1241