CVE-2026-22748
Vmware Spring Security ≤ 6.3.15
Raw vector
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:NSummary
CVE-2026-22748 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Vmware Spring Security. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 10th 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 AC-3 (Access Enforcement) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-24610
Vulnerability Data
Vulnerability in Spring Spring Security. When an application configures JWT decoding with NimbusJwtDecoder or NimbusReactiveJwtDecoder, it must configure an OAuth2TokenValidator<Jwt> separately, for example by calling setJwtValidator.This issue affects Spring Security: from 6.3.0 through 6.3.14, from 6.4.0 through 6.4.14, from 6.5.0…
more
through 6.5.9, from 7.0.0 through 7.0.4.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
JWT decoder misconfiguration (CWE-20) allows forged/invalid tokens to be accepted, directly enabling exploitation of a public-facing auth component.
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Directly enforces validation of untrusted JWT input (claims, structure, and semantics) before acceptance, addressing the missing OAuth2TokenValidator configuration.
Requires the system to enforce access decisions only after successful, validated JWT authentication rather than accepting unvalidated tokens.
Mandates proper identification and authentication of users via validated JWTs, preventing bypass when the Nimbus decoder lacks an explicit validator.
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 and enforce input validation during development.
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.
Testing against a defined set of requirements and using code review plus vulnerability scanning forces validation of inputs and handling of unanticipated conditions, reducing the chance that malformed data will be accepted.
Secure-coding guidelines and mandatory security testing (including code scans) compel developers to validate and sanitize inputs at design and implementation time, lowering the incidence of malformed or malicious data reaching downstream components.
Mandating input controls that include integrity checks and input validation ensures that untrusted data is examined before use, blocking the root cause of many injection and malformed-data weaknesses.
Security-by-design principles explicitly call for data validation and sanitization at every layer, reducing the chance that malformed or malicious input will be processed without scrutiny.
Requiring language-specific secure coding standards, peer review, SAST and documented mitigation of common programming errors forces validation of all inputs before they are trusted.
Regular automated validation of system software and data content, combined with scanning of all inbound files, enforces input validation at the boundary before untrusted content is processed.