CVE-2021-29571

Vulnerability Description

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/31bd5026304677faa8a0b77602c6154171b9aec1/tensorflow/core/kernels/image/draw_bounding_box_op.cc#L116-L130) assumes that the last element of `boxes` input is 4, as required by [the op](https://www.tensorflow.org/api_docs/python/tf/raw_ops/DrawBoundingBoxesV2). Since this is not checked attackers passing values less than 4 can write outside of bounds of heap allocated objects and cause memory corruption. If the last dimension in `boxes` is less than 4, accesses similar to `tboxes(b, bb, 3)` will access data outside of bounds. Further during code execution there are also writes to these indices. 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

Affected Products

Related Weaknesses (CWE)

References

• https://github.com/tensorflow/tensorflow/commit/79865b542f9ffdc9caeb255631f7c56fPatchThird Party Advisory
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-whr9-vfh2-7hm6ExploitPatchThird Party Advisory
• https://github.com/tensorflow/tensorflow/commit/79865b542f9ffdc9caeb255631f7c56fPatchThird Party Advisory
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-whr9-vfh2-7hm6ExploitPatchThird Party Advisory