CVE-2023-52304
📋 TL;DR
A stack overflow vulnerability in paddle.searchsorted function in PaddlePaddle allows attackers to cause denial of service or potentially execute arbitrary code. This affects all users of PaddlePaddle machine learning framework who process untrusted input with the searchsorted function. The vulnerability stems from improper bounds checking in buffer operations.
💻 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 crash or instability when processing malicious input.
If Mitigated
Limited impact with proper input validation and sandboxing, potentially only causing application crashes.
🎯 Exploit Status
Exploitation requires sending specially crafted input to the vulnerable function.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: 2.6.0
Vendor Advisory: https://github.com/PaddlePaddle/Paddle/blob/develop/security/advisory/pdsa-2023-013.md
Restart Required: Yes
Instructions:
1. Upgrade PaddlePaddle to version 2.6.0 or later. 2. Update dependencies: pip install --upgrade paddlepaddle. 3. Restart any services using PaddlePaddle.
🔧 Temporary Workarounds
Input validation and sanitization
allImplement strict input validation for parameters passed to paddle.searchsorted function
Resource limits
linuxApply memory and process limits to PaddlePaddle applications
ulimit -s 8192
systemctl set-property <service> MemoryLimit=1G
🧯 If You Can't Patch
- Implement strict input validation and sanitization for all data passed to paddle.searchsorted
- Isolate PaddlePaddle applications in containers with resource limits and minimal privileges
🔍 How to Verify
Check if Vulnerable:
Check PaddlePaddle version: python -c "import paddle; print(paddle.__version__)"Check Version:
python -c "import paddle; print(paddle.__version__)"Verify Fix Applied:
Verify version is 2.6.0 or higher and test searchsorted function with edge cases📡 Detection & Monitoring
Log Indicators:
- Application crashes
- Stack overflow errors
- Memory access violations
Network Indicators:
- Unusual input patterns to ML inference endpoints
SIEM Query:
source="paddlepaddle" AND (event="segmentation_fault" OR event="stack_overflow")