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CVE-2022-23594

HIGH
Published 2022-02-04T22:32:11.000Z
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CVSS Score

V3.1
8.8
/10
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
Base Score Metrics
Exploitability: N/A Impact: N/A

EPSS Score

v2025.03.14
0.000
probability
of exploitation in the wild

There is a 0.0% chance that this vulnerability will be exploited in the wild within the next 30 days.

Updated: 2025-06-25
Exploit Probability
Percentile: 0.030
Higher than 3.0% of all CVEs

Attack Vector Metrics

Attack Vector
LOCAL
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
CHANGED

Impact Metrics

Confidentiality
HIGH
Integrity
HIGH
Availability
HIGH

Description

Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.

Available Exploits

No exploits available for this CVE.

Related News

No news articles found for this CVE.

Affected Products

tensorflow

tensorflow

Affected Versions:

>= 2.7.0, < 2.8.0

GitHub Security Advisories

Community-driven vulnerability intelligence from GitHub

✓ GitHub Reviewed HIGH

Out of bounds read in Tensorflow

GHSA-9x52-887g-fhc2

Advisory Details

### Impact The [TFG dialect of TensorFlow (MLIR)](https://github.com/tensorflow/tensorflow/tree/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/ir/importexport) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered. ### Patches We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.

Affected Packages

PyPI tensorflow
ECOSYSTEM: ≥2.7.0 <2.7.1
PyPI tensorflow-cpu
ECOSYSTEM: ≥2.7.0 <2.7.1
PyPI tensorflow-gpu
ECOSYSTEM: ≥2.7.0 <2.7.1

CVSS Scoring

CVSS Score

7.5

CVSS Vector

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

References

WEB https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9x52-887g-fhc2
ADVISORY https://nvd.nist.gov/vuln/detail/CVE-2022-23594
WEB https://github.com/tensorflow/tensorflow
WEB https://github.com/tensorflow/tensorflow/tree/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/ir/importexport

Advisory provided by GitHub Security Advisory Database. Published: February 9, 2022, Modified: February 11, 2022

References

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9x52-887g-fhc2
https://github.com/tensorflow/tensorflow/tree/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/ir/importexport
Published: 2022-02-04T22:32:11.000Z
Last Modified: 2025-04-23T19:08:04.448Z
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