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CVE-2025-54951VulnerabilityPublished Updated

CVE-2025-54951: Meta Platforms ExecuTorch · Heap-based Buffer Overflow

Affects Meta Platforms ExecuTorchSource CVE Database V5

0

Not known to be exploited · CVSS 9.8 Critical.

Data as of 26 Oct 2026, 06:26 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 52% 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 2026-10-26.

What to do

Affected software

ProductAffectedFixed in
Meta Platforms, Inc ExecuTorchAffected
  • =0
Fixed in–

AI-suggested

To mitigate this vulnerability, European organizations should: 1) Immediately identify and inventory all systems running ExecuTorch, prioritizing those in critical environments. 2) Apply the patch corresponding to commit cea9b23aa8ff78aff92829a466da97461cc7930c as soon as it becomes available. In the absence of an official patch, consider temporarily disabling or isolating ExecuTorch-dependent services to reduce exposure. 3) Implement network-level controls such as firewall rules and intrusion detection systems to monitor and restrict access to ExecuTorch runtimes, limiting exposure to untrusted networks. 4) Employ runtime application self-protection (RASP) or sandboxing techniques to contain potential exploitation attempts. 5) Monitor logs and system behavior for anomalies indicative of exploitation attempts, including unexpected crashes or unusual process activity. 6) Engage with Meta Platforms' security advisories and update policies to ensure timely application of future security updates. 7) Conduct security awareness training for developers and system administrators on secure handling of AI model inputs and runtime environments to prevent similar vulnerabilities.

Description

A group of related buffer overflow vulnerabilities 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 cea9b23aa8ff78aff92829a466da97461cc7930c.

References

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