Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedResizeBilinear` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/50711818d2e61ccce012591eeb4fdf93a8496726/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L705-L706) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. 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/f6c40f0c6cbf00d46c7717a26419f206PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8c89-2vwr-chcqExploitPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/f6c40f0c6cbf00d46c7717a26419f206PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8c89-2vwr-chcqExploitPatchThird Party Advisory
FAQ
What is CVE-2021-29537?
CVE-2021-29537 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 cause a heap buffer overflow in `QuantizedResizeBilinear` by passing in invalid thresholds for the quantization. ...
How severe is CVE-2021-29537?
CVE-2021-29537 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-2021-29537?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.