CVE-2020-15266
Tensorflow Crop Bug
Description
In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
INFO
Published Date :
Oct. 21, 2020, 9:15 p.m.
Last Modified :
Nov. 18, 2021, 4:25 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
3.6
Exploitability Score :
3.9
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-2020-15266.
| URL | Resource |
|---|---|
| https://github.com/tensorflow/tensorflow/issues/42129 | Exploit Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845 | Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gc | 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).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2020-15266 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2020-15266 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.
-
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Reanalysis by [email protected]
Nov. 18, 2021
Action Type Old Value New Value -
CPE Deprecation Remap by [email protected]
Aug. 17, 2021
Action Type Old Value New Value Changed CPE Configuration OR *cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:-:*:*:* versions from (excluding) 2.4.0 OR *cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:* versions from (excluding) 2.4.0 -
Initial Analysis by [email protected]
Nov. 03, 2020
Action Type Old Value New Value Added CVSS V2 NIST (AV:N/AC:L/Au:N/C:N/I:N/A:P) Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H Changed Reference Type https://github.com/tensorflow/tensorflow/issues/42129 No Types Assigned https://github.com/tensorflow/tensorflow/issues/42129 Exploit, Patch, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845 No Types Assigned https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845 Patch, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gc No Types Assigned https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gc Patch, Third Party Advisory Added CWE NIST CWE-119 Added CPE Configuration OR *cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:-:*:*:* versions up to (excluding) 2.4.0
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2020-15266 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-2020-15266
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.17 }} 0.02%
score
0.52920
percentile