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CRITICAL severity

ExecuTorch out-of-bounds access vulnerabilityGHSA-f9hx-c6jf-3qxm

CRITICALFix: pytorch/executorch@b6b7a16

GHSA-f9hx-c6jf-3qxm is a critical-severity (CVSS 9.8) Out-of-bounds Read vulnerability in org.pytorch:executorch-android. A fix is available for org.pytorch:executorch-android — see the affected versions and patch details below.

Also known asCVE-2025-54950PYSEC-2026-334
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 GHSA-f9hx-c6jf-3qxm.

EPSS Exploitation Probability

via FIRST.org ↗
0.6%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs51th percentile — riskier than 51% of all scored CVEsHighest risk
0.00%0.38%0.75%1.13%0.3%0.6%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

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 fb03b6f85596a8f954d97929075335255b6a58d4.

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 GHSA-f9hx-c6jf-3qxm 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

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 fb03b6f85596a8f954d97929075335255b6a58d4.
O3 Security · Impact-Aware SCA

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ExecuTorch out-of-bounds access vulnerability (Critical 9.8)