CVE-2023-52307
📋 TL;DR
A stack overflow vulnerability in the paddle.linalg.lu_unpack function in PaddlePaddle allows attackers to cause denial of service or potentially execute arbitrary code by providing specially crafted input. This affects all users running vulnerable versions of PaddlePaddle, particularly those using this linear algebra function in their machine learning workflows.
💻 Affected Systems
- PaddlePaddle
📦 What is this software?
Paddlepaddle by Paddlepaddle
⚠️ Risk & Real-World Impact
Worst Case
Remote code execution leading to complete system compromise if the stack overflow can be leveraged for arbitrary code execution.
Likely Case
Denial of service through application crashes or instability when processing malicious input.
If Mitigated
Limited impact with proper input validation and sandboxing, potentially just application crashes.
🎯 Exploit Status
Exploitation requires calling the vulnerable function with malicious input, which may require some application-specific knowledge.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: 2.6.0 and later
Vendor Advisory: https://github.com/PaddlePaddle/Paddle/blob/develop/security/advisory/pdsa-2023-016.md
Restart Required: Yes
Instructions:
1. Upgrade PaddlePaddle to version 2.6.0 or later using pip: pip install --upgrade paddlepaddle==2.6.0 2. Restart any services or applications using PaddlePaddle.
🔧 Temporary Workarounds
Input validation wrapper
allWrap calls to paddle.linalg.lu_unpack with input validation to prevent malicious input
# Python code to validate input dimensions and types before calling lu_unpack
🧯 If You Can't Patch
- Implement strict input validation for all calls to paddle.linalg.lu_unpack
- Isolate PaddlePaddle processes in containers with limited privileges
🔍 How to Verify
Check if Vulnerable:
Check PaddlePaddle version: python -c "import paddle; print(paddle.__version__)" - if version is less than 2.6.0, system is vulnerable.Check Version:
python -c "import paddle; print(paddle.__version__)"Verify Fix Applied:
After upgrade, verify version is 2.6.0 or higher using same command.📡 Detection & Monitoring
Log Indicators:
- Application crashes or segmentation faults when using linear algebra functions
- Unusual memory usage patterns in PaddlePaddle processes
Network Indicators:
- N/A - This is a local vulnerability
SIEM Query:
Process monitoring for PaddlePaddle crashes or abnormal termination