CVE-2022-23563— Insecure temporary file 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 存在安全漏洞，该漏洞源于 TensorFlow 使用 tempfile.mktemp 来创建临时文件。虽然这在测试中是可以接受的，但在实用程序和库中这是危险的，因为不同的进程可以在检查 mktemp 中的文件名和通过后续操作实际创建文件之间创建文件（TOC/TOU 类型弱点）。
Possible ATT&CK Techniques 1 AI
T1564.004 · NTFS File Attributes
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I. Basic Information for CVE-2022-23563
Vulnerability Information
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Vulnerability Title
Insecure temporary file in Tensorflow
Source: CVE Program / CVE List V5
Vulnerability Description
Tensorflow is an Open Source Machine Learning Framework. In multiple places, TensorFlow uses `tempfile.mktemp` to create temporary files. While this is acceptable in testing, in utilities and libraries it is dangerous as a different process can create the file between the check for the filename in `mktemp` and the actual creation of the file by a subsequent operation (a TOC/TOU type of weakness). In several instances, TensorFlow was supposed to actually create a temporary directory instead of a file. This logic bug is hidden away by the `mktemp` function usage. We have patched the issue in several commits, replacing `mktemp` with the safer `mkstemp`/`mkdtemp` functions, according to the usage pattern. Users are advised to upgrade as soon as possible.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
Source: CVE Program / CVE List V5
Vulnerability Type
检查时间与使用时间(TOCTOU)的竞争条件
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。 Tensorflow 存在安全漏洞，该漏洞源于 TensorFlow 使用 tempfile.mktemp 来创建临时文件。虽然这在测试中是可以接受的，但在实用程序和库中这是危险的，因为不同的进程可以在检查 mktemp 中的文件名和通过后续操作实际创建文件之间创建文件（TOC/TOU 类型弱点）。
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-2022-23563
| # | POC Description | Source Link | Shenlong Link |
|---|
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Vendor Advisories for CVE-2022-23563 (1)
-
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wc4g-r73w-x8mm x_refsource_CONFIRM
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-2022-23575 | 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 |
| 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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