CVE-2023-25662
📋 TL;DR
CVE-2023-25662 is an integer overflow vulnerability in TensorFlow's EditDistance function that could allow attackers to cause denial of service or potentially execute arbitrary code. This affects all users running TensorFlow versions prior to 2.12.0 or 2.11.1. The vulnerability occurs when processing specially crafted input to the EditDistance operation.
💻 Affected Systems
- TensorFlow
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Remote code execution leading to complete system compromise if combined with other vulnerabilities, or denial of service causing application crashes.
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 degraded performance.
🎯 Exploit Status
Exploitation requires crafting specific input to trigger the integer overflow. No public exploits have been reported as of the advisory.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: 2.12.0 or 2.11.1
Vendor Advisory: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7jvm-xxmr-v5cw
Restart Required: Yes
Instructions:
1. Upgrade TensorFlow to version 2.12.0 or 2.11.1 using pip: 'pip install --upgrade tensorflow==2.12.0' or 'pip install --upgrade tensorflow==2.11.1'. 2. Restart all services and applications using TensorFlow. 3. Test that EditDistance operations work correctly with your existing code.
🔧 Temporary Workarounds
Input Validation
allImplement strict input validation and sanitization for all inputs to EditDistance operations
Disable EditDistance
allTemporarily disable or replace EditDistance functionality if not critical
🧯 If You Can't Patch
- Implement strict input validation and sanitization for all inputs to TensorFlow operations
- Isolate TensorFlow applications in containers or sandboxes with limited privileges
🔍 How to Verify
Check if Vulnerable:
Check TensorFlow version: 'python -c "import tensorflow as tf; print(tf.__version__)"' - if version is <2.12.0 and not 2.11.1, you are vulnerable.Check Version:
python -c "import tensorflow as tf; print(tf.__version__)"Verify Fix Applied:
After patching, verify version is 2.12.0 or 2.11.1: 'python -c "import tensorflow as tf; print(tf.__version__)"'. Test EditDistance operations with various inputs.📡 Detection & Monitoring
Log Indicators:
- TensorFlow crash logs
- Application errors related to EditDistance
- Memory allocation failures
Network Indicators:
- Unusual input patterns to ML inference endpoints
- Repeated failed requests to TensorFlow services
SIEM Query:
source="tensorflow" AND (error OR crash OR "EditDistance" OR "integer overflow")🔗 References
- https://github.com/tensorflow/tensorflow/commit/08b8e18643d6dcde00890733b270ff8d9960c56c
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7jvm-xxmr-v5cw
- https://github.com/tensorflow/tensorflow/commit/08b8e18643d6dcde00890733b270ff8d9960c56c
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7jvm-xxmr-v5cw
