Service interruption via overlapping Inductor temporary buffers
Published Sep 25, 2025 · Updated Sep 25, 2025
Buffer overflow in PyTorch 2.7.0 CPU Inductor allows remote attackers to interrupt model compilation with a crafted operator sequence. During vectorized parallel reduction, C++ code generation allocates overlapping tmp_acc_array temporary buffers for the scalar tail kernel and the parallel reduction. The flaw is reached only when CPU Inductor compiles a model combining Conv2d, hardshrink, view, and torch.mv, and the resulting C++ compile failure interrupts the compilation service.
Summary
What happened
Buffer overflow in PyTorch 2.7.0 CPU Inductor allows remote attackers to interrupt model compilation with a crafted operator sequence. During vectorized parallel reduction, C++ code generation allocates overlapping tmp_acc_array temporary buffers for the scalar tail kernel and the parallel reduction. The flaw is reached only when CPU Inductor compiles a model combining Conv2d, hardshrink, view, and torch.mv, and the resulting C++ compile failure interrupts the compilation service.
The record
- CVE
- CVE-2025-55558
- Published
- Sep 25, 2025
- Updated
- Sep 25, 2025
- Vendor
- Unknown vendor
- Product
- Unknown product
- Classifications
- CWE-400
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Sep 25, 2025CVE publishedPublication date reported by the CVE source.
- Sep 25, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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What is affected?
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Published CVSS scores
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Attacks
What attackers are doing with it
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Weakness, pattern, technique
Public exploit references
- CPU Inductor Conv2d-hardshrink-view-mv reproductionproof of concept · demonstrated
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Technologies
Your stack
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Your stack
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