TensorFlow 2.82.11 Crash via SparseFillEmptyRowsGrad
CVE-2022-41898 Published on November 18, 2022
`CHECK` fail via inputs in `SparseFillEmptyRowsGrad` in Tensorflow
TensorFlow is an open source platform for machine learning. If `SparseFillEmptyRowsGrad` is given empty inputs, TensorFlow will crash. We have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Vulnerability Analysis
CVE-2022-41898 is exploitable with network access, requires user interaction and a small amount of user privileges. This vulnerability is consided to have a high level of attack complexity. Public availability of a proof of concept (POC) exploit exists for CVE-2022-41898. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality and integrity, and a high impact on availability.
Weakness Type
Improper Input Validation
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.
Products Associated with CVE-2022-41898
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Affected Versions
tensorflow:- Version >= 2.10.0, < 2.10.1 is affected.
- Version >= 2.9.0, < 2.9.3 is affected.
- Version < 2.8.4 is affected.
Vulnerable Packages
The following package name and versions may be associated with CVE-2022-41898
| Package Manager | Vulnerable Package | Versions | Fixed In |
|---|---|---|---|
| pip | tensorflow | < 2.8.4 | 2.8.4 |
| pip | tensorflow | >= 2.9.0, < 2.9.3 | 2.9.3 |
| pip | tensorflow | >= 2.10.0, < 2.10.1 | 2.10.1 |
| pip | tensorflow-cpu | < 2.8.4 | 2.8.4 |
| pip | tensorflow-gpu | < 2.8.4 | 2.8.4 |
| pip | tensorflow-cpu | >= 2.9.0, < 2.9.3 | 2.9.3 |
| pip | tensorflow-gpu | >= 2.9.0, < 2.9.3 | 2.9.3 |
| pip | tensorflow-cpu | >= 2.10.0, < 2.10.1 | 2.10.1 |
| pip | tensorflow-gpu | >= 2.10.0, < 2.10.1 | 2.10.1 |
Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.