Vulnerability Description
TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for the `QuantizeAndDequantizeV*` operations can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
CVSS Score
HIGH
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | < 2.4.4 |
Related Weaknesses (CWE)
References
- https://github.com/tensorflow/tensorflow/commit/7cf73a2274732c9d82af51c2bc2cf90dPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-49rx-x2rw-pc6fThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/7cf73a2274732c9d82af51c2bc2cf90dPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-49rx-x2rw-pc6fThird Party Advisory
FAQ
What is CVE-2021-41205?
CVE-2021-41205 is a vulnerability with a CVSS score of 7.1 (HIGH). TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for the `QuantizeAndDequantizeV*` operations can trigger a read outside of bounds of heap...
How severe is CVE-2021-41205?
CVE-2021-41205 has been rated HIGH with a CVSS base score of 7.1/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2021-41205?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.