ExecuTorch Integer Overflow Vulnerability: Early Warning Issued
- Severity
- HIGH
- Affected component
- executorch (pypi)
- Affected versions
- <= 0.6.0 or >= 0.1.0, <= 0.1.0 or >= 0.1.2, <= 0.1.2 or >= 0.2.0, <= 0.2.0 or >= 0.2.1, <= 0.2.1 or >= 0.3.0, <= 0.3.0 or >= 0.4.0, <= 0.4.0 or >= 0.5.0, <= 0.5.0 or >= 0.6.0, <= 0.6.0 or < 0.7.0 or >= 0.1.0, <= 0.1.0 or >= 0.1.2, <= 0.1.2 or >= 0.2.0, <= 0.2.0 or >= 0.2.1, <= 0.2.1 or >= 0.3.0, <= 0.3.0 or >= 0.4.0, <= 0.4.0 or >= 0.5.0, <= 0.5.0 or >= 0.6.0, <= 0.6.0 or < 0.7.0 or >= 0.1.0, <= 0.1.0 or >= 0.1.2, <= 0.1.2 or >= 0.2.0, <= 0.2.0 or >= 0.2.1, <= 0.2.1 or >= 0.3.0, <= 0.3.0 or >= 0.4.0, <= 0.4.0 or >= 0.5.0, <= 0.5.0 or >= 0.6.0, <= 0.6.0 or < 0.7.0 or >= 0.1.0, <= 0.1.0 or >= 0.1.2, <= 0.1.2 or >= 0.2.0, <= 0.2.0 or >= 0.2.1, <= 0.2.1 or >= 0.3.0, <= 0.3.0 or >= 0.4.0, <= 0.4.0 or >= 0.5.0, <= 0.5.0 or >= 0.6.0, <= 0.6.0 or < 0.7.0 or >= 0.1.0, <= 0.1.0 or >= 0.1.2, <= 0.1.2 or >= 0.2.0, <= 0.2.0 or >= 0.2.1, <= 0.2.1 or >= 0.3.0, <= 0.3.0 or >= 0.4.0, <= 0.4.0 or >= 0.5.0, <= 0.5.0 or >= 0.6.0, <= 0.6.0 or < 0.7.0 or >= 0.1.0, <= 0.1.0 or >= 0.1.2, <= 0.1.2 or >= 0.2.0, <= 0.2.0 or >= 0.2.1, <= 0.2.1 or >= 0.3.0, <= 0.3.0 or >= 0.4.0, <= 0.4.0 or >= 0.5.0, <= 0.5.0 or >= 0.6.0, <= 0.6.0 or < 0.7.0 or >= 0.1.0, <= 0.1.0 or >= 0.1.2, <= 0.1.2 or >= 0.2.0, <= 0.2.0 or >= 0.2.1, <= 0.2.1 or >= 0.3.0, <= 0.3.0 or >= 0.4.0, <= 0.4.0 or >= 0.5.0, <= 0.5.0 or >= 0.6.0, <= 0.6.0 or <= 0.6.0 or >= 0.1.0, <= 0.1.0 or >= 0.1.2, <= 0.1.2 or >= 0.2.0, <= 0.2.0 or >= 0.2.1, <= 0.2.1 or >= 0.3.0, <= 0.3.0 or >= 0.4.0, <= 0.4.0 or >= 0.5.0, <= 0.5.0 or >= 0.6.0, <= 0.6.0 or < 0.7.0 or >= 0.1.0, <= 0.1.0 or >= 0.1.2, <= 0.1.2 or >= 0.2.0, <= 0.2.0 or >= 0.2.1, <= 0.2.1 or >= 0.3.0, <= 0.3.0 or >= 0.4.0, <= 0.4.0 or >= 0.5.0, <= 0.5.0 or >= 0.6.0, <= 0.6.0 or < 0.7.0 or >= 0.1.0, <= 0.1.0 or >= 0.1.2, <= 0.1.2 or >= 0.2.0, <= 0.2.0 or >= 0.2.1, <= 0.2.1 or >= 0.3.0, <= 0.3.0 or >= 0.4.0, <= 0.4.0 or >= 0.5.0, <= 0.5.0 or >= 0.6.0, <= 0.6.0 or < 0.7.0 or >= 0.1.0, <= 0.1.0 or >= 0.1.2, <= 0.1.2 or >= 0.2.0, <= 0.2.0 or >= 0.2.1, <= 0.2.1 or >= 0.3.0, <= 0.3.0 or >= 0.4.0, <= 0.4.0 or >= 0.5.0, <= 0.5.0 or >= 0.6.0, <= 0.6.0 or < 0.7.0 or >= 0.1.0, <= 0.1.0 or >= 0.1.2, <= 0.1.2 or >= 0.2.0, <= 0.2.0 or >= 0.2.1, <= 0.2.1 or >= 0.3.0, <= 0.3.0 or >= 0.4.0, <= 0.4.0 or >= 0.5.0, <= 0.5.0 or >= 0.6.0, <= 0.6.0 or < 0.7.0 or >= 0.1.0, <= 0.1.0 or >= 0.1.2, <= 0.1.2 or >= 0.2.0, <= 0.2.0 or >= 0.2.1, <= 0.2.1 or >= 0.3.0, <= 0.3.0 or >= 0.4.0, <= 0.4.0 or >= 0.5.0, <= 0.5.0 or >= 0.6.0, <= 0.6.0 or < 0.7.0 or >= 0.1.0, <= 0.1.0 or >= 0.1.2, <= 0.1.2 or >= 0.2.0, <= 0.2.0 or >= 0.2.1, <= 0.2.1 or >= 0.3.0, <= 0.3.0 or >= 0.4.0, <= 0.4.0 or >= 0.5.0, <= 0.5.0 or >= 0.6.0, <= 0.6.0
- Patched version
- Not yet available
An integer overflow vulnerability has been reported in ExecuTorch, potentially allowing code execution or other undesirable effects. Users of affected versions are advised to upgrade and monitor their applications.
What happened
An integer overflow vulnerability in the loading of ExecuTorch models can cause objects to be placed outside their allocated memory area. This issue affects ExecuTorch prior to commit 0830af8207240df8d7f35b984cdf8bc35d74fa73. The vulnerability was first flagged on August 8, 2025. It is currently under investigation and has not been exploited in the wild.
The affected components include executorch (pypi) versions <= 0.6.0 or < 0.7.0, org.pytorch:executorch-android (maven) versions < 0.7.0 or >= 0.5.0, and github.com/pytorch/executorch (swift) versions < 0.7.0.
What to do about it
- Upgrade to the latest version of ExecuTorch.
- Monitor your applications for any unusual behavior after the upgrade.
- Consult the primary sources for the most up-to-date information on the vulnerability and any available patches.
How 0Day would have caught this
executorch is anywhere in your dependency tree, the engineers who own the affected repositories get a push alert the moment it is flagged — no manual audit to remember to run.Read how this differs from waiting on a scanner to catch a known advisory, or see the exact, read-only access 0Day needs to do this for an organization.
Frequently asked questions
Am I affected?
You are affected if you are using executorch (pypi) versions <= 0.6.0 or < 0.7.0, org.pytorch:executorch-android (maven) versions < 0.7.0 or >= 0.5.0, or github.com/pytorch/executorch (swift) versions < 0.7.0.
What should I do right now?
Upgrade to the latest version of ExecuTorch and monitor your applications for any unusual behavior.
Is there an official fix available?
No official fix has been published yet. Monitor the primary sources for updates.