Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2021-29533

2.5 · LOW
Published May 14, 2021 google CWE-754 EPSS 0.22% (12th pctl)

Overview

CVE-2021-29533 is a low-severity vulnerability affecting google tensorflow. It was published on May 14, 2021 and has a CVSS 3.1 base score of 2.5 (LOW).

This vulnerability has a CVSS 3.1 base score of 2.5, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

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

Remediation

Check the references section for vendor advisories and patches from google. Update tensorflow to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Affected Products

Vendor Product Versions Status
google tensorflow >= 0, < 2.1.4 Affected

Frequently Asked Questions

What is CVE-2021-29533?

CVE-2021-29533 is a low-severity vulnerability affecting google tensorflow. It was published on May 14, 2021 and has a CVSS 3.1 base score of 2.5 (LOW).

How severe is CVE-2021-29533?

This vulnerability has a CVSS 3.1 base score of 2.5, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2021-29533?

Check the references section for vendor advisories and patches from google. Update tensorflow to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2021-29533?

CyberStrike's AI-powered security agents can automatically detect CVE-2021-29533 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.