Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences. The conversion from Python array to C++ array(https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L113-L169) is vulnerable to a type confusion. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
CVSS Score
LOW
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | < 2.1.4 |
Related Weaknesses (CWE)
References
- https://github.com/tensorflow/tensorflow/commit/030af767d357d1b4088c4a25c72cb390PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-452g-f7fp-9jf7ExploitPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/030af767d357d1b4088c4a25c72cb390PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-452g-f7fp-9jf7ExploitPatchThird Party Advisory
FAQ
What is CVE-2021-29513?
CVE-2021-29513 is a vulnerability with a CVSS score of 2.5 (LOW). TensorFlow is an end-to-end open source platform for machine learning. Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer derefer...
How severe is CVE-2021-29513?
CVE-2021-29513 has been rated LOW with a CVSS base score of 2.5/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2021-29513?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.