Overview
The vulnerability CVE-2025-55557 is a critical flaw in the pytorch v2.7.0 application, which can result in Denial of Service (DoS) attacks. This exploitation occurs when a PyTorch model consists of torch.cummin and is compiled by Inductor. The vulnerability affects all systems running pytorch v2.7.0. It’s a pressing matter because successful exploitation may lead to system compromise and potential data leakage.
Vulnerability Summary
CVE ID: CVE-2025-55557
Severity: High (7.5 CVSS)
Attack Vector: Network
Privileges Required: None
User Interaction: None
Impact: Denial of Service, potential system compromise, and data leakage
Affected Products
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Product | Affected Versions
pytorch | v2.7.0
How the Exploit Works
The exploit takes advantage of a Name Error in pytorch v2.7.0. When a PyTorch model that includes torch.cummin is compiled by Inductor, an error is triggered. This error can be exploited to cause a Denial of Service. In some cases, this DoS condition may be leveraged by attackers to compromise the system or leak sensitive data.
Conceptual Example Code
Here is a pseudocode representation of how the vulnerability might be exploited:
# Create a PyTorch model with torch.cummin
model = PyTorchModel()
model.add(torch.cummin)
# Compile the model with Inductor
compiled_model = InductorCompiler.compile(model)
# The above operation triggers a Name Error, leading to DoSNote: The above code is a conceptual representation. The actual exploit might involve the delivery of malicious payloads over the network, potentially through an API endpoint that uses the vulnerable PyTorch model.
Mitigation
To mitigate this vulnerability, apply the vendor-supplied patch immediately. If the patch cannot be applied right away, consider using a Web Application Firewall (WAF) or Intrusion Detection System (IDS) as a temporary measure to prevent exploit attempts.