CVE-2021-29533

Summary

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK failure by passing an empty image to tf.raw_ops.DrawBoundingBoxes. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/ea34a18dc3f5c8d80a40ccca1404f343b5d55f91/tensorflow/core/kernels/image/draw_bounding_box_op.cc#L148-L165) uses CHECK_* assertions instead of OP_REQUIRES to validate user controlled inputs. Whereas OP_REQUIRES allows returning an error condition back to the user, the CHECK_* macros result in a crash if the condition is false, similar to assert. In this case, height is 0 from the images input. This results in max_box_row_clamp being negative and the assertion being falsified, followed by aborting program execution. 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.

Affected Software

VendorProductVersion RangeStatus
tensorflowtensorflow< 2.1.4affected
tensorflowtensorflow>= 2.2.0, < 2.2.3affected
tensorflowtensorflow>= 2.3.0, < 2.3.3affected
tensorflowtensorflow>= 2.4.0, < 2.4.2affected

Weaknesses

  • CWE-754: CWE-754: Improper Check for Unusual or Exceptional Conditions

ADP Enrichment

CVE Program Container

Additional References

References