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CVE-2026-59951VulnerabilityPublished Updated

Red Hat Security Advisory: Red Hat Enterprise Linux AI 3.5.3 enhancement update

Affects Red HatSource GCVE Database

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Mentioned vulnerabilities

Authoritative record:CVE-2026-59951· Medium 6.9

Not known to be exploited · CVSS 6.9 Medium : upgrade Red Hat to 2.2.0 or 1.30.0 when convenient.

Data as of 13 Nov 2026, 14:36 UTC

CVSS 4.0 base score
6.9Medium
How severe the flaw is on the 0–10 CVSS scale.
Patch
Available – fixed in 2.2.0, 1.30.0
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 14 Oct 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

Upgrade python-sdk to 2.2.0 or 1.30.0.

Affected software

ProductAffectedFixed in
modelcontextprotocolpython-sdkAffected
  • >=2.0.0 <2.2.0
Fixed in
  • 2.2.0
modelcontextprotocolpython-sdkAffected
  • >=1.8.0 <1.30.0
Fixed in
  • 1.30.0

AI-suggested

Mitigation involves limiting network exposure to the vLLM inference service by restricting inbound access to trusted clients or API gateways via firewall rules. In OpenShift AI environments, Kubernetes NetworkPolicy should be applied to restrict ingress traffic to authorized pods and block outbound internet access to prevent fetching untrusted remote media. Additionally, enforce maximum request body size limits on upstream proxies or ingress controllers to drop oversized payloads before reaching the inference backend. Note that restricting egress traffic may prevent processing of valid remote media inputs if expected. These mitigations reduce the risk of resource exhaustion attacks until a fix is available.

Description

Red Hat Enterprise Linux AI 3.5.3 includes an update providing new container disk images for OpenShift Virtualization. A critical vulnerability (CVE-2026-100650) affects the vLLM component, where the system downloads and decodes remote or embedded media files before enforcing size and quantity limits. This can be exploited remotely without authentication to cause resource exhaustion, leading to denial of service (DoS) by crashing or making the inference service unresponsive. The vulnerability does not allow code execution or data exposure. Mitigations include restricting network access, blocking outbound connections, and enforcing request size limits.

References

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