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CVE-2022-23590— Crash due to erroneous `StatusOr` in Tensorflow

Quick assessment

Affected
tensorflow tensorflow
Exploitation
No confirmed in-the-wild exploitation; assess based on exposure
Recommended action
Check the vendor advisory and references for a fixed version. If immediate upgrade is impossible, restrict exposure and increase monitoring.

Google TensorFlow是美国谷歌（Google）公司的一套用于机器学习的端到端开源平台。 Tensorflow 存在代码问题漏洞，该漏洞源于来自TensorFlow SavedModel的GraphDef可能会被恶意修改，导致一个TensorFlow进程因为遇到一个错误的StatusOr值而崩溃，并强制从中提取该值。

CVSS 5.9 · Medium EPSS 0.98% · P63

Possible ATT&CK Techniques 1 AI

T1496 · Resource Hijacking
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I. Basic Information for CVE-2022-23590

Vulnerability Information
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Vulnerability Title
Crash due to erroneous `StatusOr` in Tensorflow
Source: CVE Program / CVE List V5
Vulnerability Description
Tensorflow is an Open Source Machine Learning Framework. A `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering a `StatusOr` value that is an error and forcibly extracting the value from it. 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.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Source: CVE Program / CVE List V5
Vulnerability Type
对因果或异常条件的不恰当检查
Source: CVE Program / CVE List V5
Vulnerability Title
Google TensorFlow 代码问题漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
Google TensorFlow是美国谷歌（Google）公司的一套用于机器学习的端到端开源平台。 Tensorflow 存在代码问题漏洞，该漏洞源于来自TensorFlow SavedModel的GraphDef可能会被恶意修改，导致一个TensorFlow进程因为遇到一个错误的StatusOr值而崩溃，并强制从中提取该值。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)

Affected Products

Vendor Product Affected Versions CPE Subscribe
tensorflow tensorflow >= 2.7.0, < 2.8.0 -

II. Public POCs for CVE-2022-23590

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III. Intelligence Information for CVE-2022-23590

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Patches & Fixes for CVE-2022-23590 (1)

Vendor Advisories for CVE-2022-23590 (1)

Other References for CVE-2022-23590 (1)

Same Patch Batch · tensorflow · 2022-02-04 · 36 CVEs total

CVE-2022-23561 8.8 HIGH Out of bounds write in TFLite
CVE-2022-23594 8.8 HIGH Out of bounds read in Tensorflow
CVE-2022-23587 8.8 HIGH Integer overflow in Tensorflow
CVE-2022-23559 8.8 HIGH Integer overflow in TFLite
CVE-2022-23560 8.8 HIGH Read and Write outside of bounds in TFLite
CVE-2022-23574 8.8 HIGH Out of bounds read and write in Tensorflow
CVE-2022-23566 8.8 HIGH Out of bounds write in Tensorflow
CVE-2022-23592 8.1 HIGH Out of bounds read in Tensorflow
CVE-2022-23558 7.6 HIGH Integer overflow in TFLite array creation
CVE-2022-23584 7.6 HIGH Use after free in `DecodePng` in Tensorflow
CVE-2022-23562 7.6 HIGH Integer overflow in Tensorflow
CVE-2022-23573 7.6 HIGH Uninitialized variable access in Tensorflow
CVE-2022-23591 7.5 HIGH Stack overflow in Tensorflow
CVE-2022-23563 7.1 HIGH Insecure temporary file in Tensorflow
CVE-2022-23581 6.5 MEDIUM `CHECK`-failures during Grappler's `IsSimplifiableReshape` in Tensorflow
CVE-2022-23557 6.5 MEDIUM Division by zero in TFLite
CVE-2022-23570 6.5 MEDIUM Null-dereference in Tensorflow
CVE-2022-23564 6.5 MEDIUM Reachable Assertion in Tensorflow
CVE-2022-23565 6.5 MEDIUM `CHECK`-failures in Tensorflow
CVE-2022-23582 6.5 MEDIUM `CHECK`-failures in `TensorByteSize` in Tensorflow

Showing top 20 of 36 CVEs. View all on vendor page &rarr; →

IV. Related Vulnerabilities

Same product: tensorflow
Same vendor: tensorflow
Same weakness: CWE-754