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CVE-2025-47277VulnerabilityPublished Updated

Red Hat Security Advisory: Red Hat Enterprise Linux AI 1.5 (Intel Gaudi)

Affects Red HatSource GCVE Database

0

Mentioned vulnerabilities

Not known to be exploited.

Data as of 25 Oct 2026, 19:02 UTC

Severity
High

Rated by Threat Radar · No CVSS score from NVD or the CNA

EPSS
0.9% chance of exploitation in 30 days – higher than 61% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 15 Sep 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: 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 2026-10-25.

What to do

Affected software

ProductAffectedFixed in
Red Hat Product Security Red HatAffected
  • >=1.5 <=1.5
  • =1.5
  • Red Hat
  • Red Hat Enterprise Linux AI
  • Red Hat Enterprise Linux AI 1.5.1
  • amd64
  • registry.redhat.io/rhelai1/bootc-intel-rhel9@sha256:47c7b3931eb3a829bb4916cf9ecb7d03d83e762801399f8ed3825de0aa213b43_amd64
  • Red Hat Enterprise Linux AI 1.5
Fixed in–

AI-suggested

Currently, Red Hat has not provided an official fix or mitigation that meets their criteria for this vulnerability. Users should monitor Red Hat advisories for updates. No workaround or mitigation is recommended by Red Hat at this time. Customers with a Technical Account Manager (TAM) can consult directly for guidance. Applying generic mitigations is not advised unless specifically recommended by Red Hat.

Description

Red Hat® Enterprise Linux® AI is a foundation model platform to seamlessly develop, test, and run Granite family large language models (LLMs) for enterprise applications.

References

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