CVE-2022-23557— Division by zero in TFLite
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 存在数字错误漏洞，攻击者可以制作一个 TFLite 模型，该模型会在“BiasAndClamp”实现中触发除零。没有检查 是否非零。
Possible ATT&CK Techniques 1 AI
T1203 · Exploitation for Client Execution
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I. Basic Information for CVE-2022-23557
Vulnerability Information
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Vulnerability Title
Division by zero in TFLite
Source: CVE Program / CVE List V5
Vulnerability Description
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in `BiasAndClamp` implementation. There is no check that the `bias_size` is non zero. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Source: CVE Program / CVE List V5
Vulnerability Type
除零错误
Source: CVE Program / CVE List V5
Vulnerability Title
Google TensorFlow 数字错误漏洞
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 存在数字错误漏洞，攻击者可以制作一个 TFLite 模型，该模型会在“BiasAndClamp”实现中触发除零。没有检查 `bias_size` 是否非零。
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, < 2.7.1 | - |
|
II. Public POCs for CVE-2022-23557
| # | POC Description | Source Link | Shenlong Link |
|---|
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Patches & Fixes for CVE-2022-23557 (1)
Vendor Advisories for CVE-2022-23557 (1)
-
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gf2j-f278-xh4v x_refsource_CONFIRM
Other References for CVE-2022-23557 (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-2022-23562 | 7.6 HIGH | Integer overflow in Tensorflow |
| CVE-2022-23584 | 7.6 HIGH | Use after free in `DecodePng` 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-2022-23575 | 6.5 MEDIUM | Integer overflow in Tensorflow |
| 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 |
| CVE-2022-23583 | 6.5 MEDIUM | `CHECK`-failures in binary ops in Tensorflow |
Showing top 20 of 36 CVEs. View all on vendor page → →
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V. Comments for CVE-2022-23557
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