CVE-2021-37677
TensorFlow Dequantize Invalid Argument Denial of Service
Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses `axis` to select between two different values for `minmax_rank` which is then used to retrieve tensor dimensions. However, code assumes that `axis` can be either `-1` or a value greater than `-1`, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
INFO
Published Date :
Aug. 12, 2021, 11:15 p.m.
Last Modified :
June 26, 2023, 7:19 p.m.
Source :
[email protected]
Remotely Exploitable :
No
Impact Score :
3.6
Exploitability Score :
1.8
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-2021-37677
.
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).
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The following list is the news that have been mention
CVE-2021-37677
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2021-37677
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]
Jun. 26, 2023
Action Type Old Value New Value Changed Reference Type https://github.com/tensorflow/tensorflow/commit/da857cfa0fde8f79ad0afdbc94e88b5d4bbec764 Patch, Third Party Advisory https://github.com/tensorflow/tensorflow/commit/da857cfa0fde8f79ad0afdbc94e88b5d4bbec764 Patch Changed Reference Type https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qfpc-5pjr-mh26 Third Party Advisory https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qfpc-5pjr-mh26 Vendor Advisory Added CWE NIST CWE-1284 -
Initial Analysis by [email protected]
Aug. 19, 2021
Action Type Old Value New Value Added CVSS V2 NIST (AV:L/AC:L/Au:N/C:N/I:N/A:P) Added CVSS V3.1 NIST AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H Changed Reference Type https://github.com/tensorflow/tensorflow/commit/da857cfa0fde8f79ad0afdbc94e88b5d4bbec764 No Types Assigned https://github.com/tensorflow/tensorflow/commit/da857cfa0fde8f79ad0afdbc94e88b5d4bbec764 Patch, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qfpc-5pjr-mh26 No Types Assigned https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qfpc-5pjr-mh26 Third Party Advisory Added CPE Configuration OR *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions from (including) 2.3.0 up to (excluding) 2.3.4 *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions from (including) 2.4.0 up to (excluding) 2.4.3 *cpe:2.3:a:google:tensorflow:2.5.0:*:*:*:*:*:*:* *cpe:2.3:a:google:tensorflow:2.6.0:rc0:*:*:*:*:*:* *cpe:2.3:a:google:tensorflow:2.6.0:rc1:*:*:*:*:*:* *cpe:2.3:a:google:tensorflow:2.6.0:rc2:*:*:*:*:*:* -
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 (including) 2.5.0 from (including) 2.5.1 OR *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions from (including) 2.5.0 from (including) 2.5.1 -
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 (including) 2.4.0 from (including) 2.4.3 OR *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions from (including) 2.4.0 from (including) 2.4.3 -
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 (including) 2.3.0 from (including) 2.3.4 OR *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions from (including) 2.3.0 from (including) 2.3.4 -
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:2.6.0:rc0:*:*:*:*:*:* OR *cpe:2.3:a:google:tensorflow:2.6.0:rc0:*:*:*:*:*:* -
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:2.6.0:rc1:*:*:*:*:*:* OR *cpe:2.3:a:google:tensorflow:2.6.0:rc1:*:*:*:*:*:* -
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:2.6.0:rc2:*:*:*:*:*:* OR *cpe:2.3:a:google:tensorflow:2.6.0:rc2:*:*:*:*:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2021-37677
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-2021-37677
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.04 }} 0.00%
score
0.10264
percentile