CVE-2025-3001
📋 TL;DR
A critical memory corruption vulnerability in PyTorch's torch.lstm_cell function allows local attackers to potentially execute arbitrary code or crash applications. This affects systems running PyTorch 2.6.0 where the vulnerable function is used. The vulnerability requires local access to exploit.
💻 Affected Systems
- PyTorch
📦 What is this software?
Pytorch by Linuxfoundation
⚠️ Risk & Real-World Impact
Worst Case
Local privilege escalation leading to full system compromise, arbitrary code execution, or denial of service.
Likely Case
Application crashes, memory corruption leading to unstable behavior, or limited local code execution within the PyTorch process context.
If Mitigated
Contained impact within the PyTorch process with no privilege escalation if proper sandboxing and least privilege are implemented.
🎯 Exploit Status
Exploit details are publicly disclosed on GitHub. Requires local access and knowledge of how to trigger the vulnerable function.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: PyTorch 2.6.1 or later
Vendor Advisory: https://github.com/pytorch/pytorch/issues/149626
Restart Required: Yes
Instructions:
1. Update PyTorch using pip: 'pip install --upgrade torch==2.6.1' 2. Restart all applications and services using PyTorch. 3. Verify the update was successful.
🔧 Temporary Workarounds
Avoid torch.lstm_cell usage
allTemporarily avoid using the vulnerable torch.lstm_cell function until patched.
Sandbox PyTorch processes
linuxRun PyTorch in isolated containers or with restricted permissions to limit potential damage.
docker run --security-opt no-new-privileges pytorch-container
🧯 If You Can't Patch
- Implement strict access controls to limit local user access to systems running PyTorch.
- Monitor for abnormal process behavior or crashes in PyTorch applications.
🔍 How to Verify
Check if Vulnerable:
Check PyTorch version: 'python -c "import torch; print(torch.__version__)"' - if output is '2.6.0', system is vulnerable.Check Version:
python -c "import torch; print(torch.__version__)"Verify Fix Applied:
After update, verify version is 2.6.1 or later: 'python -c "import torch; print(torch.__version__)"'📡 Detection & Monitoring
Log Indicators:
- Segmentation faults in PyTorch processes
- Memory access violation errors
- Abnormal termination of PyTorch applications
Network Indicators:
- None - local vulnerability only
SIEM Query:
Process termination with exit code 139 (SIGSEGV) AND process_name contains 'python' AND command_line contains 'torch'