CVE-2021-41208
📋 TL;DR
This vulnerability in TensorFlow's boosted trees implementation allows attackers to trigger denial of service, exploit undefined behavior, and potentially read/write heap buffers. It affects all users of TensorFlow's boosted trees APIs. The boosted trees implementation is unmaintained and will be deprecated.
💻 Affected Systems
- TensorFlow
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete system compromise through arbitrary code execution via heap buffer manipulation, leading to data theft or system takeover.
Likely Case
Denial of service through application crashes from null pointer dereferences or CHECK-failures, disrupting machine learning workflows.
If Mitigated
No impact if boosted trees APIs are not used or if systems are properly patched/isolated.
🎯 Exploit Status
Exploitation requires calling vulnerable boosted trees APIs with malicious inputs. No public exploit code has been released.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: TensorFlow 2.7.0, with backports to 2.6.1, 2.5.2, and 2.4.4
Vendor Advisory: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-57wx-m983-2f88
Restart Required: Yes
Instructions:
1. Update TensorFlow to version 2.7.0 or later. 2. If using older versions, update to patched versions: 2.6.1, 2.5.2, or 2.4.4. 3. Restart all services using TensorFlow.
🔧 Temporary Workarounds
Disable Boosted Trees APIs
allRemove or disable usage of TensorFlow's boosted trees APIs in your codebase
# Review and remove tf.boosted_trees.* API calls from your code
Network Isolation
allRestrict network access to systems running vulnerable TensorFlow versions
# Use firewall rules to limit access to TensorFlow services
🧯 If You Can't Patch
- Immediately stop using TensorFlow's boosted trees APIs in all applications
- Implement strict input validation and sanitization for all TensorFlow API calls
🔍 How to Verify
Check if Vulnerable:
Check TensorFlow version and review code for boosted trees API usage: import tensorflow as tf; print(tf.__version__); search code for 'tf.boosted_trees'Check Version:
python -c "import tensorflow as tf; print(tf.__version__)"Verify Fix Applied:
Verify TensorFlow version is 2.7.0 or higher, or one of the patched versions (2.6.1, 2.5.2, 2.4.4)📡 Detection & Monitoring
Log Indicators:
- Application crashes with null pointer exceptions
- CHECK-failure messages in TensorFlow logs
- Unusual memory access patterns
Network Indicators:
- Unexpected requests to boosted trees endpoints
- Abnormal traffic patterns to ML inference services
SIEM Query:
source="tensorflow.logs" AND ("nullptr" OR "CHECK-failure" OR "boosted_trees")🔗 References
- https://github.com/tensorflow/tensorflow/commit/5c8c9a8bfe750f9743d0c859bae112060b216f5c
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-57wx-m983-2f88
- https://github.com/tensorflow/tensorflow/commit/5c8c9a8bfe750f9743d0c859bae112060b216f5c
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-57wx-m983-2f88
