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CVE-2025-54950VulnerabilityPublished Updated

CVE-2025-54950: Meta Platforms ExecuTorch · Out-of-bounds Read

Affects Meta Platforms ExecuTorchSource CVE Database V5

0

Not known to be exploited · CVSS 9.8 Critical.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score
9.8Critical
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.6% chance of exploitation in 30 days – higher than 49% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 7 Aug 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
Meta Platforms, Inc ExecuTorchAffected
  • =0
Fixed in–

AI-suggested

European organizations should immediately assess their use of ExecuTorch and identify affected versions. The primary mitigation is to update ExecuTorch to the fixed version that includes commit b6b7a16df5e7852d976d8c34c8a7e9a1b6f7d005 or later. If immediate updating is not feasible, organizations should implement network-level controls to restrict access to ExecuTorch runtime environments, such as firewall rules and network segmentation, limiting exposure to untrusted networks. Employ runtime application self-protection (RASP) or behavior monitoring to detect abnormal crashes or suspicious model loading activities. Conduct thorough code reviews and testing of AI model inputs to ensure they do not trigger out-of-bounds conditions. Additionally, implement strict input validation and sandboxing of model execution environments to contain potential exploitation. Regularly monitor threat intelligence feeds for emerging exploits and apply security patches promptly. Finally, integrate ExecuTorch usage into vulnerability management and incident response plans to ensure rapid detection and remediation.

Description

An out-of-bounds access vulnerability in the loading of ExecuTorch models can cause the runtime to crash and potentially result in code execution or other undesirable effects. This issue affects ExecuTorch prior to commit b6b7a16df5e7852d976d8c34c8a7e9a1b6f7d005.

References

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