GHSA-xc7w-r669-48pf 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 vulnerable to Heap-based Buffer Overflow
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-xc7w-r669-48pf.
EPSS Exploitation Probability
Probability of exploitation in the next 30 days, from FIRST.org EPSS.
How urgent is this, really
GHSA-xc7w-r669-48pf by exploitation likelihood (EPSS) against impact (CVSS). Outside the shaded patch-first corner.
Where this sits among everything scored
Of 379,842 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Counts from FIRST.org, log-scaled.
Real-World Exposure
org.pytorch:executorch-android🐍executorch📦github.com/pytorch/executorchReal-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 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.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| ☕Maven | org.pytorch:executorch-android | all versions | 0.7.0org.pytorch:executorch-android:0.7.0 |
| 🐍PyPI | executorch | all versions | 0.7.0pip install --upgrade 'executorch==0.7.0' |
| 📦SwiftURL | github.com/pytorch/executorch | all versions | 0.7.0 |
Detection & mitigation playbook
Open-source dependencyDetect
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.
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-xc7w-r669-48pf is resolved across your whole dependency graph.
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
Is GHSA-xc7w-r669-48pf in your dependencies?
Find it across Maven, PyPI, SwiftURL, including transitive dependencies.