CVE-2021-29582: TensorFlow CPU - Out-of-bounds Read in Dequantize

tensorflow-cpu Updated 02 Oct 2025

Summary

14/05/2021
Yes i
Unrated
Not published

CVE-2021-29582: TensorFlow is an end-to-end open source platform for machine learning. Affects tensorflow-cpu across 5 version ranges.

< 2.1.4 >= 2.2.0, < 2.2.3 >= 2.3.0, < 2.3.3 >= 2.4.0, < 2.4.2 < 5899741d0421391ca878da47907b1452f06aaf1b

Fixed in 4 releases; the minimum fixed version depends on the release line you run. How to fix ↓

Also tracked for

The same CVE-2021-29582 is tracked separately for each ecosystem and vendor. Its fix information is the same; the package and affected versions differ.

Free scan

Check if this vulnerability affects your application

Upload a manifest or SBOM and we'll show whether you're affected, plus every other risky package in the same scan.

Check my app free

No signup required · Results in about 60 seconds

Sponsored Devnack Penetration testing for web, API and mobile Manual testing by engineers who build software, not an auditor's checklist. Trusted by teams at Swift and Google Talk to Devnack

Background

TensorFlow is an end-to-end open source platform for machine learning. It provides a comprehensive ecosystem of tools, libraries, and resources for developing and deploying machine learning models. TensorFlow CPU is a specific package within TensorFlow that focuses on running TensorFlow on CPUs. It is widely used in various industries and research fields for machine learning tasks.

Vulnerability Detail

The vulnerability (CVE-2021-29582) exists in the tf.raw_ops.Dequantize function of TensorFlow CPU. The implementation of this function lacks proper validation, allowing an attacker to trigger a read from outside the bounds of heap allocated data. Specifically, the implementation accesses the min_range and max_range tensors in parallel without verifying that they have the same shape. This oversight can lead to accessing invalid memory locations and potentially result in information disclosure or a crash. The vulnerability affects versions of TensorFlow CPU from 0 to 2.4.2.

How To Fix

Latest published version: 2.21.0 as of 22 Oct 2026

pip install --upgrade "tensorflow-cpu==2.21.0"

Upgrading to it may include breaking changes; the versions below are the minimum fixed release for this vulnerability.

If you can't move to the latest

The minimum fixed version depends on the release line you run.

  • < 2.1.4 2.1.4
    pip install --upgrade "tensorflow-cpu==2.1.4"
  • >= 2.2.0, < 2.2.3 2.2.3
    pip install --upgrade "tensorflow-cpu==2.2.3"
  • >= 2.3.0, < 2.3.3 2.3.3
    pip install --upgrade "tensorflow-cpu==2.3.3"
  • >= 2.4.0, < 2.4.2 2.4.2
    pip install --upgrade "tensorflow-cpu==2.4.2"

Tip — Not sure which release line you're on? Vulert can find the fix for the version you are using. Scan free →

Workaround

There is no known workaround for this vulnerability. It is recommended to apply the provided fix by updating TensorFlow CPU to the latest patched version.

Conclusion

The vulnerability (CVE-2021-29582) in TensorFlow CPU's tf.raw_ops.Dequantize function can be exploited to trigger an out-of-bounds read. This can lead to information disclosure or a crash, potentially compromising sensitive data or disrupting TensorFlow CPU functionality. Users are strongly advised to update their TensorFlow CPU installations to the latest patched version. For further support on vulnerability remediation, you can reach out to DevNack.com.

See every vulnerability recorded for tensorflow-cpu →

Share this vulnerability

FAQ

TensorFlow CPU is a package within TensorFlow that focuses on running TensorFlow on CPUs. It provides the necessary components and optimizations for efficient execution of machine learning models on CPU architectures.

The vulnerability allows an attacker to trigger an out-of-bounds read, potentially leading to information disclosure or a crash. Exploiting this vulnerability could result in the compromise of sensitive data or disruption of TensorFlow CPU functionality.

The vulnerability affects versions of TensorFlow CPU from 0 to 2.4.2. TensorFlow 2.5.0 and later versions are not affected.

No, there are no known workarounds for this vulnerability. It is recommended to update TensorFlow CPU to the latest patched version.

To update TensorFlow CPU, you can use the package manager or update mechanism specific to your operating system or package manager. Alternatively, you can follow the official TensorFlow documentation for instructions on updating the package.

Related vulnerabilities

Recent vulnerabilities recorded for tensorflow-cpu.

How To Fix

Latest published version: 2.21.0 as of 22 Oct 2026

pip install --upgrade "tensorflow-cpu==2.21.0"

Upgrading to it may include breaking changes; the versions below are the minimum fixed release for this vulnerability.

If you can't move to the latest

The minimum fixed version depends on the release line you run.

  • < 2.1.4 2.1.4
    pip install --upgrade "tensorflow-cpu==2.1.4"
  • >= 2.2.0, < 2.2.3 2.2.3
    pip install --upgrade "tensorflow-cpu==2.2.3"
  • >= 2.3.0, < 2.3.3 2.3.3
    pip install --upgrade "tensorflow-cpu==2.3.3"
  • >= 2.4.0, < 2.4.2 2.4.2
    pip install --upgrade "tensorflow-cpu==2.4.2"

Tip — Not sure which release line you're on? Vulert can find the fix for the version you are using. Scan free →

Subscribe to Vulert on Telegram
Daily digest of new CVEs, critical and high severity, affected packages and fixes — plus a weekly roundup.
Join the channel →
Help improve this record
Report an issue or send feedback