CVE-2025-22234
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:NSummary
CVE-2025-22234 is a medium-severity Observable Timing Discrepancy (CWE-208) vulnerability in Spring (inferred from references). Its CVSS base score is 5.3 (Medium).
Operationally, ranked at the 33th 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 IA-6 (Authentication Feedback) and AC-3 (Access Enforcement) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-3787
Vulnerability Data
The fix applied in CVE-2025-22228 inadvertently broke the timing attack mitigation implemented in DaoAuthenticationProvider. This can allow attackers to infer valid usernames or other authentication behavior via response-time differences under certain configurations.
- CWE(s)
Related Threats
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Directly limits observable authentication feedback (including timing differences) that could allow inference of valid usernames in DaoAuthenticationProvider.
Requires error handling that avoids distinguishable timing or response variations between valid and invalid authentication attempts.
Enforces consistent access decision paths so that authentication outcomes do not leak information through observable timing discrepancies.
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 constant-time implementations that eliminate observable timing discrepancies.
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.
Consistent reference clocks limit the attacker's ability to measure or manipulate timing differences that could reveal internal state or processing paths.