CVE-2021-29609
TensorFlow SparseAdd Null Pointer Dereference and Out-of-Bounds Write Vulnerability
Description
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseAdd` results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_add_op.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
INFO
Published Date :
May 14, 2021, 8:15 p.m.
Last Modified :
Nov. 21, 2024, 6:01 a.m.
Remotely Exploit :
No
Source :
[email protected]
CVSS Scores
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS 2.0 | MEDIUM | [email protected] | ||||
| CVSS 3.1 | MEDIUM | [email protected] | ||||
| CVSS 3.1 | HIGH | [email protected] |
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-2021-29609.
| URL | Resource |
|---|---|
| https://github.com/tensorflow/tensorflow/commit/41727ff06111117bdf86b37db198217fd7a143cc | Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/commit/6fd02f44810754ae7481838b6a67c5df7f909ca3 | Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cjc7-49v2-jp64 | Exploit Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/commit/41727ff06111117bdf86b37db198217fd7a143cc | Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/commit/6fd02f44810754ae7481838b6a67c5df7f909ca3 | Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cjc7-49v2-jp64 | Exploit Patch Third Party Advisory |
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2021-29609 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-2021-29609
weaknesses.
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-2021-29609 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2021-29609 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 af854a3a-2127-422b-91ae-364da2661108
Nov. 21, 2024
Action Type Old Value New Value Added Reference https://github.com/tensorflow/tensorflow/commit/41727ff06111117bdf86b37db198217fd7a143cc Added Reference https://github.com/tensorflow/tensorflow/commit/6fd02f44810754ae7481838b6a67c5df7f909ca3 Added Reference https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cjc7-49v2-jp64 -
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
May. 20, 2021
Action Type Old Value New Value Added CVSS V2 NIST (AV:L/AC:L/Au:N/C:P/I:P/A:P) Added CVSS V3.1 NIST AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H Changed Reference Type https://github.com/tensorflow/tensorflow/commit/41727ff06111117bdf86b37db198217fd7a143cc No Types Assigned https://github.com/tensorflow/tensorflow/commit/41727ff06111117bdf86b37db198217fd7a143cc Patch, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/commit/6fd02f44810754ae7481838b6a67c5df7f909ca3 No Types Assigned https://github.com/tensorflow/tensorflow/commit/6fd02f44810754ae7481838b6a67c5df7f909ca3 Patch, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cjc7-49v2-jp64 No Types Assigned https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cjc7-49v2-jp64 Exploit, Patch, Third Party Advisory Added CWE NIST CWE-787 Added CWE NIST CWE-476 Added CPE Configuration OR *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions up to (excluding) 2.1.4 *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions from (including) 2.2.0 up to (excluding) 2.2.3 *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions from (including) 2.3.0 up to (excluding) 2.3.3 *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions from (including) 2.4.0 up to (excluding) 2.4.2
Vulnerability Scoring Details
Base CVSS Score: 7.8
Base CVSS Score: 4.6
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.05 }} 0.01%
score
0.11930
percentile