CVE-2026-35371
Uutils Coreutils
Raw vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:NSummary
CVE-2026-35371 is a low-severity User Interface (UI) Misrepresentation of Critical Information (CWE-451) vulnerability in Uutils Coreutils. Its CVSS base score is 3.3 (Low).
Operationally, ranked at the 2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to SI-2 (Flaw Remediation) and AC-16 (Security and Privacy Attributes) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-25019
Vulnerability Data
The id utility in uutils coreutils exhibits incorrect behavior in its "pretty print" output when the real UID and effective UID differ. The implementation incorrectly uses the effective GID instead of the effective UID when performing a name lookup for…
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the effective user. This results in misleading diagnostic output that can cause automated scripts or system administrators to make incorrect decisions regarding file permissions or access control.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Insufficient information to map techniques.CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Directly requires timely remediation of the code flaw in the id utility that produces incorrect UID output.
Ensures security attributes such as real/effective UIDs are correctly associated and represented rather than misreported.
Verifies integrity of software output and detects when diagnostic information about UIDs has been corrupted or falsified.
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 address design and implementation of accurate, non-spoofable UI elements.
User awareness training helps people recognize and avoid harm from UI misrepresentation such as phishing, but does not prevent the flaw itself.
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 UI misrepresentation vulnerabilities before deployment.
Security awareness training can teach users to recognize UI misrepresentation and phishing attempts.
Web filtering can block known phishing sites that exploit UI misrepresentation.
Secure development lifecycle includes UI/UX security requirements that can prevent misrepresentation of critical information.
Application security requirements can mandate proper display and validation of critical information in the UI.
Secure coding practices can prevent UI flaws that obscure or spoof critical information.