Code execution via unchecked tensor copy bounds
Published Aug 7, 2025 · Updated Aug 12, 2025
Heap buffer overflow in ExecuTorch before 0.7.0 allows remote attackers to execute code by supplying a malformed model. The prim_ops::et_copy_index routine uses memcpy at index * size_copy_from without first ensuring the destination tensor has enough remaining space. No authentication or user interaction is required when a host application exposes model loading to untrusted network input; the overwrite can crash the process or enable code execution.
Summary
What happened
Heap buffer overflow in ExecuTorch before 0.7.0 allows remote attackers to execute code by supplying a malformed model. The prim_ops::et_copy_index routine uses memcpy at index * size_copy_from without first ensuring the destination tensor has enough remaining space. No authentication or user interaction is required when a host application exposes model loading to untrusted network input; the overwrite can crash the process or enable code execution.
The record
- CVE
- CVE-2025-54949
- Published
- Aug 7, 2025
- Updated
- Aug 12, 2025
- Vendor
- Meta Platforms, Inc.
- Product
- ExecuTorch
- Classifications
- CWE-122
- 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/ede82493dae6d2d43f8c424e7be4721abe5242be
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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