Overview
The cybersecurity landscape is constantly evolving, and the need to stay up-to-date with the latest vulnerabilities is ever-present. In today’s blog post, we will be discussing a severe vulnerability, CVE-2025-54952, that affects ExecuTorch models prior to commit 8f062d3f661e20bb19b24b767b9a9a46e8359f2b. This vulnerability is of particular concern due to its high severity score of 9.8 and the potential for system compromise or data leakage. The exploit could potentially allow malicious actors to execute code or cause other undesirable effects, underlining the importance of understanding and mitigating such threats.
Vulnerability Summary
CVE ID: CVE-2025-54952
Severity: Critical (9.8 CVSS score)
Attack Vector: Remote
Privileges Required: None
User Interaction: None
Impact: System compromise or data leakage
Affected Products
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Product | Affected Versions
ExecuTorch | Prior to commit 8f062d3f661e20bb19b24b767b9a9a46e8359f2b
How the Exploit Works
The CVE-2025-54952 vulnerability leverages an integer overflow when loading ExecuTorch models. This overflow can cause smaller-than-expected memory regions to be allocated during the loading process. The insufficient memory allocation may not properly handle the size of the data, leading to a buffer overflow. This overflow can potentially allow malicious actors to inject and execute arbitrary code within the context of the application, potentially leading to system compromise or data leakage.
Conceptual Example Code
Below is a conceptual example of how this vulnerability might be exploited. Note that this is a simplified illustration and actual exploitation would require more complex techniques.
# This is a simplified, conceptual example
# An attacker creates a large ExecuTorch model
large_model = create_large_model()
# The model is saved with more data than the memory allocation can handle
save_model(large_model, "malicious_model.pth")
# The victim's system tries to load the large model, causing an integer overflow
# This could allow the attacker's code to be executed
load_model("malicious_model.pth")Mitigation Guidance
To mitigate this vulnerability, users should apply the vendor patch released by ExecuTorch. The patch addresses the vulnerability by correcting the integer overflow error during the loading of models. It ensures proper memory allocation, thus preventing potential buffer overflows. Alternatively, a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can also be used as temporary mitigation. However, these are not long-term solutions and the vendor patch should be applied as soon as possible.