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-2021-29550

2.5 · LOW
Published May 14, 2021 google CWE-369 EPSS 0.19% (9th pctl)

Overview

CVE-2021-29550 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 cause a runtime division by zero error and denial of service in `tf.raw_ops.FractionalAvgPool`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/acc8ee69f5f46f92a3f1f11230f49c6ac266f10c/tensorflow/core/kernels/fractional_avg_pool_op.cc#L85-L89) computes a divisor quantity by dividing two user controlled values. The user controls the values of `input_size[i]` and `pooling_ratio_[i]` (via the `value.shape()` and `pooling_ratio` arguments). If the value in `input_size[i]` is smaller than the `pooling_ratio_[i]`, then the floor operation results in `output_size[i]` being 0. The `DCHECK_GT` line is a no-op outside of debug mode, so in released versions of TF this does not trigger. Later, these computed values are used as arguments(https://github.com/tensorflow/tensorflow/blob/acc8ee69f5f46f92a3f1f11230f49c6ac266f10c/tensorflow/core/kernels/fractional_avg_pool_op.cc#L96-L99)

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-2021-29550?

CVE-2021-29550 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-2021-29550?

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-2021-29550?

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-2021-29550?

CyberStrike's AI-powered security agents can automatically detect CVE-2021-29550 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.