Always-Incorrect Control Flow Implementation Affecting torch package, versions [0,]


Severity

Recommended
0.0
low
0
10

CVSS assessment by Snyk's Security Team. Learn more

Threat Intelligence

Exploit Maturity
Proof of Concept
EPSS
0.05% (16th percentile)

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  • Snyk IDSNYK-PYTHON-TORCH-13052971
  • published26 Sept 2025
  • disclosed25 Sept 2025
  • creditShaoyu Yang

Introduced: 25 Sep 2025

NewCVE-2025-55552  (opens in a new tab)
CWE-670  (opens in a new tab)

How to fix?

There is no fixed version for torch.

Overview

torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration

Affected versions of this package are vulnerable to Always-Incorrect Control Flow Implementation when compiling model with torch.rot90() and torch.randn_like() functions while backend="aot_eager_decomp_partition". An attacker can cause unexpected behavior or potentially manipulate outputs by crafting inputs that trigger the interaction between these functions.

CVSS Base Scores

version 4.0
version 3.1