CVE-2022-23592
tensorflow Heap Out-of-Bounds Read Vulnerability
Description
Tensorflow is an Open Source Machine Learning Framework. TensorFlow's type inference can cause a heap out of bounds read as the bounds checking is done in a `DCHECK` (which is a no-op during production). An attacker can control the `input_idx` variable such that `ix` would be larger than the number of values in `node_t.args`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.
INFO
Published Date :
Feb. 4, 2022, 11:15 p.m.
Last Modified :
Feb. 10, 2022, 2:18 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.2
Exploitability Score :
2.8
Public PoC/Exploit Available at Github
CVE-2022-23592 has a 1 public PoC/Exploit available at Github.
Go to the Public Exploits tab to see the list.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2022-23592.
| URL | Resource |
|---|---|
| https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L223-L229 | Exploit Third Party Advisory |
| https://github.com/tensorflow/tensorflow/commit/c99d98cd189839dcf51aee94e7437b54b31f8abd | Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vq36-27g6-p492 | Patch Third Party Advisory |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
test 反向辣鸡数据投放 CVE-2022-23305 工具 利用 教程 Exploit POC
cve-2020-
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2022-23592 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2022-23592 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
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CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Feb. 10, 2022
Action Type Old Value New Value Added CVSS V2 NIST (AV:N/AC:L/Au:S/C:P/I:N/A:P) Added CVSS V3.1 NIST AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H Changed Reference Type https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L223-L229 No Types Assigned https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L223-L229 Exploit, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/commit/c99d98cd189839dcf51aee94e7437b54b31f8abd No Types Assigned https://github.com/tensorflow/tensorflow/commit/c99d98cd189839dcf51aee94e7437b54b31f8abd Patch, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vq36-27g6-p492 No Types Assigned https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vq36-27g6-p492 Patch, Third Party Advisory Added CPE Configuration OR *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions from (including) 2.7.0 up to (excluding) 2.8.0
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2022-23592 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2022-23592
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.29 }} 0.00%
score
0.68599
percentile