CVE-2022-29210
5.5 · MEDIUMOverview
CVE-2022-29210 is a medium-severity vulnerability affecting google tensorflow. It was published on May 21, 2022 and has a CVSS 3.1 base score of 5.5 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.
Technical Description
TensorFlow is an open source platform for machine learning. In version 2.8.0, the `TensorKey` hash function used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`). It also tried to access individual tensor bytes through `tensor.data()` of size `AllocatedBytes()`. This led to ASAN failures because the `AllocatedBytes()` is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the `.data()` buffer. The discoverers could not use this byte vector anyway because types such as `tstring` include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1.
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 |
|---|
References
Frequently Asked Questions
What is CVE-2022-29210?
CVE-2022-29210 is a medium-severity vulnerability affecting google tensorflow. It was published on May 21, 2022 and has a CVSS 3.1 base score of 5.5 (MEDIUM).
How severe is CVE-2022-29210?
This vulnerability has a CVSS 3.1 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2022-29210?
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-2022-29210?
CyberStrike's AI-powered security agents can automatically detect CVE-2022-29210 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.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.
Related MEDIUM CVEs from 2022
View all →OroPlatform is a PHP Business Application Platform. In affected versions the email template preview
Dell EMC AppSync versions 3.9 to 4.3 contain a clickjacking vulnerability in AppSync. A remote unaut
Select Dell Client Commercial and Consumer platforms contain a pre-boot direct memory access (DMA) v
A cross-site scripting (XSS) vulnerability has been reported to affect QNAP device running Proxy Ser
In JetBrains IntelliJ IDEA before 2022.1 local code execution via custom Pandoc path was possible
In JetBrains IntelliJ IDEA before 2022.1 local code execution via HTML descriptions in custom JSON s
In JetBrains IntelliJ IDEA before 2022.1 local code execution via workspace settings was possible
In JetBrains IntelliJ IDEA before 2022.1 local code execution via links in Quick Documentation was p
In JetBrains Rider before 2022.1 local code execution via links in ReSharper Quick Documentation was
All versions of package com.alibaba.oneagent:one-java-agent-plugin are vulnerable to Arbitrary File
Improper Restriction of Rendered UI Layers or Frames in GitHub repository polonel/trudesk prior to 1
Dm-verity is used for extending root-of-trust to root filesystems. LoadPin builds on this property t