CVE-2022-23562
📋 TL;DR
This CVE describes an integer overflow vulnerability in TensorFlow's Range operation that can lead to undefined behavior or excessive memory allocations. Attackers could exploit this to cause denial of service or potentially execute arbitrary code. All users of affected TensorFlow versions are vulnerable.
💻 Affected Systems
- TensorFlow
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Remote code execution leading to complete system compromise, data exfiltration, or ransomware deployment
Likely Case
Denial of service through memory exhaustion or application crashes
If Mitigated
Application instability or crashes without system compromise
🎯 Exploit Status
Exploitation requires crafting specific inputs to trigger the integer overflow, but no public exploit code is available
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: TensorFlow 2.8.0, 2.7.1, 2.6.3, or 2.5.3
Vendor Advisory: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qx3f-p745-w4hr
Restart Required: Yes
Instructions:
1. Identify current TensorFlow version. 2. Upgrade to patched version: pip install tensorflow==2.8.0 (or appropriate version). 3. Restart all TensorFlow services and applications.
🔧 Temporary Workarounds
Input validation for Range operations
allImplement strict input validation for all Range operation parameters to prevent overflow conditions
Memory limits for TensorFlow processes
linuxSet memory limits on TensorFlow processes to contain potential memory exhaustion attacks
ulimit -v 4000000
docker run --memory="4g" tensorflow-container
🧯 If You Can't Patch
- Isolate TensorFlow services in restricted network segments with no internet access
- Implement strict input validation and sanitization for all user-provided data to Range operations
🔍 How to Verify
Check if Vulnerable:
Check TensorFlow version: python -c "import tensorflow as tf; print(tf.__version__)" and compare to affected versionsCheck Version:
python -c "import tensorflow as tf; print('TensorFlow version:', tf.__version__)"Verify Fix Applied:
Verify version is 2.8.0, 2.7.1, 2.6.3, or 2.5.3, then test Range operations with edge case inputs📡 Detection & Monitoring
Log Indicators:
- Memory allocation failures
- Process crashes with segmentation faults
- Unusual Range operation parameters
Network Indicators:
- Unusually large memory allocation requests from TensorFlow services
SIEM Query:
source="tensorflow" AND (event="segmentation_fault" OR event="out_of_memory" OR event="range_operation_error")🔗 References
- https://github.com/tensorflow/tensorflow/commit/f0147751fd5d2ff23251149ebad9af9f03010732
- https://github.com/tensorflow/tensorflow/issues/52676
- https://github.com/tensorflow/tensorflow/pull/51733
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qx3f-p745-w4hr
- https://github.com/tensorflow/tensorflow/commit/f0147751fd5d2ff23251149ebad9af9f03010732
- https://github.com/tensorflow/tensorflow/issues/52676
- https://github.com/tensorflow/tensorflow/pull/51733
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qx3f-p745-w4hr
