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CRITICAL severity

CVE-2025-54949 — executorch-android

CRITICALFix: pytorch/executorch@ede8249

CVE-2025-54949 is a critical-severity (CVSS 9.8) CWE-122 vulnerability in org.pytorch:executorch-android. A fix is available for org.pytorch:executorch-android — see the affected versions and patch details below.

ExecuTorch heap buffer overflow vulnerability

Also known asGHSA-9m39-3mf3-xwchPYSEC-2026-333
Published
Updated
Affected
3 pkgs
Patched
3 / 3
Exploits
None indexed
Exploitation data as of Nov 7, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
  • A successful exploit gives an attacker total control of the affected component, not partial access.
  • CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for CVE-2025-54949.

EPSS Exploitation Probability

via FIRST.org ↗
0.7%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs53th percentile — riskier than 53% of all scored CVEsHighest risk
0.00%0.39%0.79%1.18%0.2%0.7%May 26Sep 26Nov 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

Where this sits among everything scored

Real-World Exposure

3 pkgs affected
☕org.pytorch:executorch-android🐍executorch📦github.com/pytorch/executorch

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects Maven, PyPI, SwiftURL packages — download data is not available via public APIs for these ecosystems.

Description

A heap buffer overflow vulnerability in the loading of ExecuTorch models can potentially result in code execution or other undesirable effects. This issue affects ExecuTorch prior to commit ede82493dae6d2d43f8c424e7be4721abe5242be

Affected Packages

3 total 3 fixed
EcosystemPackageVulnerable rangeFix
☕Mavenorg.pytorch:executorch-androidall versions0.7.0org.pytorch:executorch-android:0.7.0
🐍PyPIexecutorchall versions0.7.0pip install --upgrade 'executorch==0.7.0'
📦SwiftURLgithub.com/pytorch/executorchall versions0.7.0

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for org.pytorch:executorch-android, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update org.pytorch:executorch-android to 0.7.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2025-54949 is resolved across your whole dependency graph.

  3. Workarounds

    Constrain what reaches the vulnerable code: limit the size and shape of untrusted input, isolate the affected component in a sandboxed or least-privileged process, and enable the platform's memory-safety mitigations (ASLR, stack protector, hardened allocator) so an out-of-bounds access is more likely to fail closed than to be exploitable.

Frequently Asked Questions

A heap buffer overflow vulnerability in the loading of ExecuTorch models can potentially result in code execution or other undesirable effects. This issue affects ExecuTorch prior to commit ede82493dae6d2d43f8c424e7be4721abe5242be
O3 Security · Impact-Aware SCA

Is CVE-2025-54949 in your dependencies?

Find it across Maven, PyPI, SwiftURL, including transitive dependencies.

CVE-2025-54949: executorch — Fixed in 0.7.0