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CVE-2022-35934— `CHECK` failure in tf.reshape 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。 Google TensorFlow 2.9.1、2.8.1和 2.7.2版本存在安全漏洞，该漏洞源于TensorFlow 中 tf.reshape op 的实现很容易受到张量中元素数量溢出影响，导致 CHECK-failure（断言失败），攻击者利用该漏洞可以导致服务拒绝。

CVSS 5.9 · Medium EPSS 0.48% · P41

Possible ATT&CK Techniques 1 AI

T1499 · Endpoint Denial of Service
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I. Basic Information for CVE-2022-35934

Vulnerability Information
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Vulnerability Title
`CHECK` failure in tf.reshape in Tensorflow
Source: CVE Program / CVE List V5
Vulnerability Description
TensorFlow is an open source platform for machine learning. The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by overflowing the number of elements in a tensor. This issue has been patched in GitHub commit 61f0f9b94df8c0411f0ad0ecc2fec2d3f3c33555. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
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
可达断言
Source: CVE Program / CVE List V5
Vulnerability Title
Google TensorFlow 安全漏洞
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。 Google TensorFlow 2.9.1、2.8.1和 2.7.2版本存在安全漏洞，该漏洞源于TensorFlow 中 tf.reshape op 的实现很容易受到张量中元素数量溢出影响，导致 CHECK-failure（断言失败），攻击者利用该漏洞可以导致服务拒绝。
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 < 2.7.2 -

II. Public POCs for CVE-2022-35934

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III. Intelligence Information for CVE-2022-35934

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Patches & Fixes for CVE-2022-35934 (1)

Vendor Advisories for CVE-2022-35934 (1)

Same Patch Batch · tensorflow · 2022-09-16 · 59 CVEs total

CVE-2022-35938 7.0 HIGH OOB read in `Gather_nd` op in TensorFlow Lite Micro
CVE-2022-35939 7.0 HIGH Out of bounds write in `scatter_nd` op in TensorFlow Lite
CVE-2022-35937 7.0 HIGH OOB read in `Gather_nd` op in TensorFlow Lite
CVE-2022-35960 5.9 MEDIUM `CHECK` failure in `TensorListReserve` in TensorFlow
CVE-2022-35984 5.9 MEDIUM `CHECK` fail in `ParameterizedTruncatedNormal` in TensorFlow
CVE-2022-35940 5.9 MEDIUM Int overflow in `RaggedRangeOp` in Tensoflow
CVE-2022-35952 5.9 MEDIUM `CHECK` failures in `UnbatchGradOp` in TensorFlow
CVE-2022-35959 5.9 MEDIUM `CHECK` failures in `AvgPool3DGrad` in TensorFlow
CVE-2022-35969 5.9 MEDIUM `CHECK` fail in `Conv2DBackpropInput` in TensorFlow
CVE-2022-35971 5.9 MEDIUM `CHECK` fail in `FakeQuantWithMinMaxVars` in TensorFlow
CVE-2022-35973 5.9 MEDIUM Segfault in `QuantizedMatMul` in TensorFlow
CVE-2022-35972 5.9 MEDIUM Segfault in `QuantizedBiasAdd` in TensorFlow
CVE-2022-35974 5.9 MEDIUM Segfault in `QuantizeDownAndShrinkRange` in TensorFlow
CVE-2022-35979 5.9 MEDIUM Segfault in `QuantizedRelu` and `QuantizedRelu6`
CVE-2022-35981 5.9 MEDIUM `CHECK` fail in `FractionalMaxPoolGrad` in TensorFlow
CVE-2022-35982 5.9 MEDIUM Segfault in `SparseBincount` in TensorFlow
CVE-2022-35988 5.9 MEDIUM `CHECK` fail in `tf.linalg.matrix_rank` in TensorFlow
CVE-2022-35989 5.9 MEDIUM `CHECK` fail in `MaxPool` in TensorFlow
CVE-2022-35983 5.9 MEDIUM `CHECK` fail in `Save` and `SaveSlices` in TensorFlow
CVE-2022-35985 5.9 MEDIUM `CHECK` fail in `LRNGrad` in TensorFlow

Showing top 20 of 59 CVEs. View all on vendor page &rarr; →

IV. Related Vulnerabilities

Same product: tensorflow
Same vendor: tensorflow
Same weakness: CWE-617