# CVE-2025-54952: PYSEC-2026-1351 - ExecuTorch integer overflow vulnerability leads to code execution

Source: https://junglewise.ai/threats/cve-2025-54952-meta-executorch-integer-overflow-in-model-loading  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-07-07. Updated: 2026-09-26  
License: CC BY 4.0 with a link back

CVE-2025-54952 · Severity: medium · CVSS 4 · Published 2026-07-07

ExecuTorch is Meta's runtime framework for executing machine learning models efficiently on edge devices. An integer overflow in the model loading process causes insufficient memory to be allocated, potentially allowing an attacker with a malicious model file to achieve code execution. This could compromise any application or device running ExecuTorch to load untrusted models.

Technologies: [executorch (PyPI)](https://junglewise.ai/threats/technologies/executorch). Vendors: [PyPI](https://junglewise.ai/threats/vendors/pypi).

## Quick answers

**Is CVE-2025-54952 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2025-54952 being exploited in the wild.

**How severe is CVE-2025-54952?** Medium severity, with a CVSS score of 4, published 7 July 2026.

**Which products and versions are affected?** executorch (PyPI) ECOSYSTEM:introduced=0,last_affected=0.6.0.

**Is there a fix for CVE-2025-54952?** A patch was published on 2025-08-08: Fix available in commit 8f062d3f661e20bb19b24b767b9a9a46e8359f2b Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

**How is CVE-2025-54952 attacked?** It is attacked with local access, in a software library.

**Am I affected by CVE-2025-54952?** Check whether you run executorch (PyPI) at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## Technical details

An integer overflow vulnerability exists in the memory allocation logic of ExecuTorch's model loader (runtime/core/memory_allocator.h). When loading a model file, insufficient bounds checking on size calculations causes a smaller-than-expected memory region to be allocated. The vulnerability is triggered when processing a crafted ExecuTorch model, and requires user interaction (loading a malicious model file). A successful exploit can result in heap buffer overflow, leading to code execution or information disclosure. The fix is available in commit 8f062d3f661e20bb19b24b767b9a9a46e8359f2b (adding overflow checks in the allocation logic).

## Affected products

- Meta ExecuTorch prior to commit 8f062d3f661e20bb19b24b767b9a9a46e8359f2b (versions 0.1.0 through 0.6.0 affected)

## Identifiers

- CVE-2025-54952
- GHSA-33r8-vrx9-rmcv
- PYSEC-2026-1351

## Timeline

- 2025-08-08: disclosed
- 2025-08-08: patched: Fix available in commit 8f062d3f661e20bb19b24b767b9a9a46e8359f2b

## References

- [https://github.com/pytorch/executorch/commit/8f062d3f661e20bb19b24b767b9a9a46e8359f2b](https://github.com/pytorch/executorch/commit/8f062d3f661e20bb19b24b767b9a9a46e8359f2b)

## Related threats

- [PyTorch ExecuTorch out-of-bounds read in model loading](https://junglewise.ai/threats/cve-2025-54950-pytorch-executorch-out-of-bounds-read-in-model-loading)
- [PyTorch ExecuTorch integer overflow in model loading](https://junglewise.ai/threats/cve-2025-30404-pytorch-executorch-integer-overflow-in-model-loading)
- [Meta ExecuTorch integer overflow in model loading](https://junglewise.ai/threats/cve-2025-30405-meta-executorch-integer-overflow-in-model-loading)
- [Meta ExecuTorch heap buffer overflow in model loading](https://junglewise.ai/threats/cve-2025-54949-meta-executorch-heap-buffer-overflow-in-model-loading)
- [ExecuTorch heap-based buffer overflow in model loading](https://junglewise.ai/threats/cve-2025-54951-executorch-heap-based-buffer-overflow-in-model-loading)