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CVE-2026-5241VulnerabilityPublished Updated

Red Hat Security Advisory: Red Hat AI Inference 3.4.5 (rocm)

Affects Red HatSource GCVE Database

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Mentioned vulnerabilities

Authoritative record:CVE-2026-5241· High 8.0

Not known to be exploited · CVSS 8.0 High.

Data as of 29 Oct 2026, 18:38 UTC

CVSS 3.0 base score
8.0High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.5% chance of exploitation in 30 days – higher than 48% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 3 Jun 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 29 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
huggingfacehuggingface/transformersAffected
  • ≥ unspecified, < 5.5.0
Fixed in–
PyPItransformerspkg:pypi/transformersOther threatsAffected
  • =5.2.0
Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Currently, no official fixes are available for these vulnerabilities in Red Hat AI Inference 3.4.5 (rocm). Applications using AIOHTTP that load untrusted input via the CookieJar.load() function should implement input sanitization to prevent malicious code execution. Users should monitor Red Hat advisories for future patches and updates. Since the vulnerabilities require specific configurations to be exploitable, ensuring that applications do not load untrusted files is a key mitigation step.

Description

Red Hat AI Inference 3.4.5 (rocm) is associated with multiple security vulnerabilities, including CVE-2026-5241 and others. One notable issue is a flaw in the AIOHTTP Python framework's CookieJar.load() function that could lead to arbitrary code execution if untrusted input is loaded. Exploitation requires specific application configurations that are not common in default Red Hat deployments. No fixes have been released yet for these vulnerabilities in the Red Hat AI Inference Server.

References

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