CVE-2021-37637
📋 TL;DR
This vulnerability in TensorFlow allows attackers to trigger a null pointer dereference by passing invalid input to the tf.raw_ops.CompressElement function. This can cause denial of service (crash) or potentially allow arbitrary code execution. All users running affected TensorFlow versions are at risk.
💻 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 memory corruption techniques.
Likely Case
Denial of service through application crash or instability in TensorFlow-based services.
If Mitigated
Application crash with limited impact if running in isolated containers with proper resource limits.
🎯 Exploit Status
Exploitation requires access to TensorFlow API endpoints that use the vulnerable compression functionality.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: TensorFlow 2.6.0, 2.5.1, 2.4.3, and 2.3.4
Vendor Advisory: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c9qf-r67m-p7cg
Restart Required: Yes
Instructions:
1. Update TensorFlow using pip: pip install --upgrade tensorflow==2.6.0 (or appropriate patched version). 2. Restart all services using TensorFlow. 3. Verify the fix by checking TensorFlow version.
🔧 Temporary Workarounds
Input validation wrapper
allAdd input validation before calling tf.raw_ops.CompressElement to ensure valid buffer inputs.
# Python code to wrap vulnerable function
import tensorflow as tf
def safe_compress_element(input_data):
if input_data is None:
raise ValueError('Input cannot be None')
# Add additional validation as needed
return tf.raw_ops.CompressElement(input_data)
🧯 If You Can't Patch
- Disable or restrict access to TensorFlow APIs that use tf.raw_ops.CompressElement functionality.
- Run TensorFlow in isolated containers with strict resource limits to contain potential crashes.
🔍 How to Verify
Check if Vulnerable:
Check TensorFlow version: python -c 'import tensorflow as tf; print(tf.__version__)' and compare with affected versions.Check Version:
python -c 'import tensorflow as tf; print(tf.__version__)'Verify Fix Applied:
Verify TensorFlow version is 2.6.0, 2.5.1, 2.4.3, 2.3.4 or later, and test compression functionality with edge cases.📡 Detection & Monitoring
Log Indicators:
- Segmentation fault or crash logs from TensorFlow processes
- Error messages mentioning CompressElement or compression_utils.cc
Network Indicators:
- Unusual requests to TensorFlow API endpoints with malformed compression data
SIEM Query:
source='tensorflow.log' AND ("segmentation fault" OR "null pointer" OR "CompressElement")🔗 References
- https://github.com/tensorflow/tensorflow/commit/5dc7f6981fdaf74c8c5be41f393df705841fb7c5
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c9qf-r67m-p7cg
- https://github.com/tensorflow/tensorflow/commit/5dc7f6981fdaf74c8c5be41f393df705841fb7c5
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c9qf-r67m-p7cg
