Overview
The cybersecurity community needs to be aware of a critical vulnerability identified as CVE-2025-55551. This vulnerability resides in the torch.linalg.lu component of pytorch v2.8.0. When exploited, it allows attackers to cause a Denial of Service (DoS) attack during a slice operation. This vulnerability could potentially allow for system compromise or data leakage, making it a serious concern for organizations utilizing this software.
Vulnerability Summary
CVE ID: CVE-2025-55551
Severity: High – CVSS 7.5
Attack Vector: Network
Privileges Required: None
User Interaction: None
Impact: Denial of Service attack, Potential system compromise, Data leakage
Affected Products
Product | Affected Versions
pytorch | v2.8.0
How the Exploit Works
The vulnerability exists due to an issue in the torch.linalg.lu component of pytorch v2.8.0. When a slice operation is performed, an attacker can exploit this vulnerability to cause a Denial of Service (DoS) attack. This exploit can be triggered remotely and does not require any user interaction or privileges.
Conceptual Example Code
The following pseudocode highlights how a potential exploit could be triggered:
# Import pytorch
import torch
# Create a Tensor
a = torch.randn(5, 3)
# Perform a slice operation
b = a[:2]
# Trigger the vulnerability
b.lu()
Mitigation
To mitigate this vulnerability, it is recommended to apply the vendor patch when it becomes available. Users can also use a Web Application Firewall (WAF) or Intrusion Detection System (IDS) as a temporary mitigation. However, these are not long-term solutions and the vendor patch should be applied as soon as possible to fully protect against this vulnerability.
