Nixpkgs security tracker

Login with GitHub
⚠️ You are using a production deployment that is still only suitable for demo purposes. Any work done in this might be wiped later without notice.

Suggestion detail

Dismissed
(no matching packages found)
Permalink CVE-2026-15154
6.5 MEDIUM
  • CVSS version (CVSS): 3.1
  • Attack Vector (AV): Adjacent (A)
  • Attack Complexity (AC): Low (L)
  • Privileges Required (PR): None (N)
  • User Interaction (UI): None (N)
  • Scope (S): Unchanged (U)
  • Confidentiality (C): None (N)
  • Integrity (I): None (N)
  • Availability (A): High (H)
  • Modified Attack Vector (MAV): Adjacent (A)
  • Modified Attack Complexity (MAC): Low (L)
  • Modified Privileges Required (MPR): None (N)
  • Modified User Interaction (MUI): None (N)
  • Modified Confidentiality (MC): None (N)
  • Modified Scope (MS): Unchanged (U)
  • Modified Integrity (MI): None (N)
  • Modified Availability (MA): High (H)
created 1 week ago Activity log
  • Created & dismissed (no matching packages found) suggestion 1 week ago
Guardrails-detectors: guardrails-detectors: unauthenticated regular-expression denial of service (redos) via detector_params.regex

A flaw was found in `guardrails-detectors`, a component of Red Hat OpenShift AI. This vulnerability, known as Regular Expression Denial of Service (ReDoS), allows a remote attacker to provide specially crafted regular expressions to the public detection API. This can cause catastrophic backtracking, leading to a worker process consuming 100% CPU indefinitely and resulting in a denial of service for the entire guardrails-mediated LLM pipeline.

References

Affected products

rhoai/odh-built-in-detector-rhel9