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CVE-2025-55551: Critical Denial of Service Vulnerability in pytorch v2.8.0

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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

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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.

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Disclaimer:

The information and code presented in this article are provided for educational and defensive cybersecurity purposes only. Any conceptual or pseudocode examples are simplified representations intended to raise awareness and promote secure development and system configuration practices.

Do not use this information to attempt unauthorized access or exploit vulnerabilities on systems that you do not own or have explicit permission to test.

Ameeba and its authors do not endorse or condone malicious behavior and are not responsible for misuse of the content. Always follow ethical hacking guidelines, responsible disclosure practices, and local laws.

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