Code execution via wrapped allocation bounds check
Published Aug 7, 2025 · Updated Aug 12, 2025
Integer overflow in ExecuTorch before 0.7.0 allows remote attackers to execute code by supplying a crafted model for loading. MemoryAllocator::allocate adds an attacker-controlled allocation size to the aligned start pointer; when the sum wraps below start, the original end-only check accepts an overlapping allocation. Exploitation requires a host application to load an untrusted ExecuTorch model, after which overlapping runtime buffers allow memory corruption and code execution in that application's process.
Summary
What happened
Integer overflow in ExecuTorch before 0.7.0 allows remote attackers to execute code by supplying a crafted model for loading. MemoryAllocator::allocate adds an attacker-controlled allocation size to the aligned start pointer; when the sum wraps below start, the original end-only check accepts an overlapping allocation. Exploitation requires a host application to load an untrusted ExecuTorch model, after which overlapping runtime buffers allow memory corruption and code execution in that application's process.
The record
- CVE
- CVE-2025-30404
- Published
- Aug 7, 2025
- Updated
- Aug 12, 2025
- Vendor
- Meta Platforms, Inc.
- Product
- ExecuTorch
- Classifications
- CWE-190, T1203
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Aug 7, 2025CVE publishedPublication date reported by the CVE source.
- Aug 12, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
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- Affected versionversion=0 <https://github.com/pytorch/executorch/commit/d158236b1dc84539c1b16843bc74054c9dcba006
What conditions does exploitation require?
What is affected?
Published CVSS scores
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Attacks
What attackers are doing with it
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Weakness, pattern, technique
Public exploit references
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Technologies
Your stack
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Your stack
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