Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger an integer division by zero undefined behavior in `tf.raw_ops.QuantizedBiasAdd`. This is because the implementation of the Eigen kernel(https://github.com/tensorflow/tensorflow/blob/61bca8bd5ba8a68b2d97435ddfafcdf2b85672cd/tensorflow/core/kernels/quantization_utils.h#L812-L849) does a division by the number of elements of the smaller input (based on shape) without checking that this is not zero. 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/67784700869470d65d5f2ef20aeb5e97PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m34j-p8rj-wjxqExploitPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/67784700869470d65d5f2ef20aeb5e97PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m34j-p8rj-wjxqExploitPatchThird Party Advisory
FAQ
What is CVE-2021-29546?
CVE-2021-29546 is a vulnerability with a CVSS score of 2.5 (LOW). TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger an integer division by zero undefined behavior in `tf.raw_ops.QuantizedBiasAdd`. This is because the impl...
How severe is CVE-2021-29546?
CVE-2021-29546 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-2021-29546?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.