CVE-2023-52309
📋 TL;DR
This vulnerability is a heap buffer overflow in the paddle.repeat_interleave function of PaddlePaddle, a deep learning framework. Attackers can exploit this to cause denial of service, leak sensitive information, or potentially execute arbitrary code. Users running PaddlePaddle applications with this function are affected.
💻 Affected Systems
- PaddlePaddle
📦 What is this software?
Paddlepaddle by Paddlepaddle
⚠️ Risk & Real-World Impact
Worst Case
Remote code execution leading to complete system compromise, data theft, or lateral movement within networks.
Likely Case
Denial of service causing application crashes and service disruption, potentially with memory corruption leading to information disclosure.
If Mitigated
Limited impact if proper input validation and sandboxing are implemented, though crashes may still occur.
🎯 Exploit Status
Exploitation requires crafting specific inputs to trigger the buffer overflow, but no public exploit code is known.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: 2.6.0
Vendor Advisory: https://github.com/PaddlePaddle/Paddle/blob/develop/security/advisory/pdsa-2023-018.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 all applications and services using PaddlePaddle. 3. Verify the upgrade was successful.
🔧 Temporary Workarounds
Disable or restrict vulnerable function
allAvoid using paddle.repeat_interleave function in code or implement input validation wrappers
🧯 If You Can't Patch
- Implement strict input validation and sanitization for all inputs to PaddlePaddle functions
- Deploy applications in isolated containers or sandboxes with minimal privileges
🔍 How to Verify
Check if Vulnerable:
Check PaddlePaddle version: python -c "import paddle; print(paddle.__version__)" and compare to 2.6.0Check Version:
python -c "import paddle; print(paddle.__version__)"Verify Fix Applied:
Confirm version is 2.6.0 or higher and test the repeat_interleave function with edge cases📡 Detection & Monitoring
Log Indicators:
- Application crashes, segmentation faults, memory access errors in PaddlePaddle logs
Network Indicators:
- Unusual network traffic patterns to/from PaddlePaddle services
SIEM Query:
source="*paddle*" AND (event="segmentation fault" OR event="memory violation" OR event="buffer overflow")