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How the CVE Works
The CVE-2025-XXXX vulnerability in ExecuTorch arises due to improper bounds checking during model loading. An integer overflow occurs when processing maliciously crafted input, leading to insufficient memory allocation. Attackers can exploit this by supplying oversized tensors, causing heap corruption and potentially arbitrary code execution. The flaw resides in the model deserialization logic, where unchecked arithmetic operations allow memory corruption. This affects ExecuTorch versions before commit 8f062d3f661e20bb19b24b767b9a9a46e8359f2b.
DailyCVE Form
Platform: ExecuTorch
Version: Pre-commit 8f062d3f
Vulnerability: Integer Overflow
Severity: Moderate
Date: Aug 8, 2025
Prediction: Patch by Sep 1, 2025
What Undercode Say
$ git clone https://github.com/pytorch/executorch $ git checkout 8f062d3f661e20bb19b24b767b9a9a46e8359f2b $ fuzzer --target=model_loader --input=malicious.pte
How Exploit
- Craft oversized tensor in PTE model
- Trigger integer overflow during deserialization
- Overwrite adjacent memory regions
Protection from this CVE
- Update to post-commit 8f062d3f
- Enable bounds-checking sanitizers
- Validate input tensor sizes
Impact
- Remote code execution
- Denial-of-service
- Memory corruption
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Reported By: github.com
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