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CVE-2026-1965VulnerabilityPublished Updated

Red Hat Security Advisory: Red Hat AI Base Images 3.5.7 (Rubin)

Affects Red HatSource GCVE Database

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Mentioned vulnerabilities

Not known to be exploited.

Data as of 13 Nov 2026, 14:48 UTC

Severity
High

Rated by Threat Radar · CVSS not yet scored by NVD

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 11 Nov 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 13 Nov 2026.

What to do

AI-suggested

No official fixes are currently available for the Red Hat AI Base Images 3.5.7 (Rubin) as per the vendor advisory. For the libcurl vulnerability (CVE-2026-11856), mitigation involves correct application usage by creating fresh libcurl handles for different HTTP origins or explicitly clearing authentication state before reuse. Users should monitor Red Hat advisories for updates and consider these usage patterns in their applications to reduce risk until a patch is provided.

Description

Red Hat AI Base Images 3.5.7 (Rubin) includes multiple security vulnerabilities, including CVE-2026-11856, which affects libcurl. This libcurl flaw can cause information disclosure when Digest authentication headers are incorrectly reused across different HTTP origins. The vulnerability requires a specific application programming pattern and can expose authenticated state headers to unintended recipients. Red Hat has not yet provided fixes for these issues in the AI Base Images. The advisory lists several CVEs but does not specify affected versions or patches for the AI Base Images themselves.

References

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