CVE-2022-23572— Crash when type cannot be specialized in Tensorflow
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I. Basic Information for CVE-2022-23572
Vulnerability Information
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Vulnerability Title
Crash when type cannot be specialized in Tensorflow
Source: NVD (National Vulnerability Database)
Vulnerability Description
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the `DCHECK` function however, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the `ValueOrDie` line. This results in an assertion failure as `ret` contains an error `Status`, not a value. In the second case we also get a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, 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
对因果或异常条件的不恰当检查
Source: NVD (National Vulnerability Database)
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，该漏洞源于在形状推断期间，TensorFlow可能无法专门化类型。
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-2022-23572
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|---|
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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-2022-23557 | 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 → →
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