PyPI: tensorflow-rocm

CVE-2021-29533

Safety vulnerability ID: SFTY-20210514-11082

Safety legacy ID: pyup.io-57920

Tensorflow-rocm 2.1.4, 2.2.3, 2.3.3, 2.4.2, and 2.5.0 includes a fix for CVE-2021-29533: 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.

PythonPyPINVDNVDGitHubGHSA
Created at: Jul 5, 2026Updated at: Jul 5, 2026

Overview

CHECK-fail in DrawBoundingBoxes

Advisory

Tensorflow-rocm 2.1.4, 2.2.3, 2.3.3, 2.4.2, and 2.5.0 includes a fix for CVE-2021-29533: 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.

Affected Package

Affecting tensorflow-rocm package, versions>=2.5.0rc0,<2.5.0>=2.1.0rc0,<2.1.4>=2.2.0rc0,<2.2.3>=2.3.0rc0,<2.3.3>=2.4.0rc0,<2.4.2

Also affects

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How to Fix

Upgradetensorflow-rocmto2.5.02.1.42.3.32.3.32.4.2or higher.

Mitigation and Workarounds

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Vulnerable Functions

Functions linked to known vulnerabilities.

Vulnerable function data is available for Enterprise customers

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References

Safety

Verified by Safety

Our Cybersecurity Intelligence Team reviewed this vulnerability. We combine public data with our own research to find issues not yet reported to public sources.

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