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CRITICAL severity

CVE-2025-30404 — executorch-android

CRITICALFix: pytorch/executorch@d158236

CVE-2025-30404 is a critical-severity (CVSS 9.8) CWE-190 vulnerability in org.pytorch:executorch-android. A fix is available for org.pytorch:executorch-android — see the affected versions and patch details below.

ExecuTorch integer overflow vulnerability

Also known asGHSA-hj95-mhgf-jxc4PYSEC-2026-335
Published
Updated
Affected
3 pkgs
Patched
3 / 3
Exploits
None indexed
Exploitation data as of Nov 10, 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-2025-30404.

EPSS Exploitation Probability

via FIRST.org ↗
0.7%probability of exploitation in next 30 days
Lower Risk+0.03%
Lower risk than most CVEs52th percentile — riskier than 52% of all scored CVEsHighest risk
0.00%0.39%0.77%1.16%0.3%0.7%Jun 26Oct 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 integer overflow vulnerability in the loading of ExecuTorch models can cause overlapping allocations, potentially resulting in code execution or other undesirable effects. This issue affects ExecuTorch prior to commit d158236b1dc84539c1b16843bc74054c9dcba006.

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-2025-30404 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 integer overflow vulnerability in the loading of ExecuTorch models can cause overlapping allocations, potentially resulting in code execution or other undesirable effects. This issue affects ExecuTorch prior to commit d158236b1dc84539c1b16843bc74054c9dcba006.
O3 Security · Impact-Aware SCA

Is CVE-2025-30404 in your dependencies?

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

CVE-2025-30404: executorch-android — Fixed in 0.7.0