CVE-2022-21731— Type confusion leading to segfault in Tensorflow
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I. Basic Information for CVE-2022-21731
Vulnerability Information
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Vulnerability Title
Type confusion leading to segfault in Tensorflow
Source: NVD (National Vulnerability Database)
Vulnerability Description
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ConcatV2` can be used to trigger a denial of service attack via a segfault caused by a type confusion. The `axis` argument is translated into `concat_dim` in the `ConcatShapeHelper` helper function. Then, a value for `min_rank` is computed based on `concat_dim`. This is then used to validate that the `values` tensor has at least the required rank. However, `WithRankAtLeast` receives the lower bound as a 64-bits value and then compares it against the maximum 32-bits integer value that could be represented. Due to the fact that `min_rank` is a 32-bits value and the value of `axis`, the `rank` argument is a negative value, so the error check is bypassed. 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: NVD (National Vulnerability Database)
CVSS Information
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Source: NVD (National Vulnerability Database)
Vulnerability Type
N/A
Source: NVD (National Vulnerability Database)
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。 Tensorflow 存在安全漏洞，该漏洞源于ConcatV2的形状推断实现可用于通过由类型混淆引起的段错误触发拒绝服务攻击。
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 |
|---|---|---|---|---|
| - | n/a | n/a | - |
II. Public POCs for CVE-2022-21731
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Same Patch Batch · n/a · 2022-02-03 · 45 CVEs total
| CVE-2022-21728 | 8.1 HIGH | Out of bounds read in Tensorflow |
| CVE-2022-21726 | 8.1 HIGH | Out of bounds read in Tensorflow |
| CVE-2022-21730 | 8.1 HIGH | Out of bounds read in Tensorflow |
| CVE-2022-21740 | 7.6 HIGH | Heap overflow in Tensorflow |
| CVE-2022-21727 | 7.6 HIGH | Integer overflow in Tensorflow |
| CVE-2022-21736 | 7.6 HIGH | Undefined behavior in Tensorflow |
| CVE-2022-21729 | 6.5 MEDIUM | Overflow and uncaught divide by zero in Tensorflow |
| CVE-2022-21737 | 6.5 MEDIUM | Assertion failure based denial of service in Tensorflow |
| CVE-2022-21741 | 6.5 MEDIUM | Division by zero in TFLite |
| CVE-2022-21738 | 6.5 MEDIUM | Integer overflow leading to crash in Tensorflow |
| CVE-2022-21739 | 6.5 MEDIUM | Null pointer dereference in TensorFlow |
| CVE-2022-21734 | 6.5 MEDIUM | `CHECK`-failures in Tensorflow |
| CVE-2022-21735 | 6.5 MEDIUM | Division by zero in Tensorflow |
| CVE-2022-23569 | 6.5 MEDIUM | `CHECK`-fails when building invalid tensor shapes in Tensorflow |
| CVE-2022-21725 | 6.5 MEDIUM | Division by zero in Tensorflow |
| CVE-2022-23567 | 6.5 MEDIUM | Integer overflows in Tensorflow |
| CVE-2022-23568 | 6.5 MEDIUM | Integer overflows in Tensorflow |
| CVE-2022-21733 | 4.3 MEDIUM | Memory exhaustion in Tensorflow |
| CVE-2022-21732 | 4.3 MEDIUM | Memory exhaustion in Tensorflow |
| CVE-2021-41837 | Insyde InsydeH2O 缓冲区错误漏洞 |
Showing top 20 of 45 CVEs. View all on vendor page → →
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