Vulnerability Monitor

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CVE-2021-41226

TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseBinCount` is vulnerable to a heap OOB access. This is because of missing validation between the elements of the `values` argument and the shape of the sparse output. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Published

2021-11-05T21:15:09.327

Last Modified

2024-11-21T06:25:49.640

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 7.1 (HIGH)

CVSSv2 Vector

AV:L/AC:L/Au:N/C:P/I:N/A:P

Access Vector: LOCAL
Access Complexity: LOW
Authentication: NONE
Confidentiality Impact: PARTIAL
Integrity Impact: NONE
Availability Impact: PARTIAL

Exploitability Score

3.9

Impact Score

4.9

Weaknesses

Type: Secondary
CWE-125
Type: Primary
CWE-125

Affected Vendors & Products

Type	Vendor	Product	Version/Range	Vulnerable?
Application	google	tensorflow	< 2.4.4	Yes
Application	google	tensorflow	< 2.5.2	Yes
Application	google	tensorflow	< 2.6.1	Yes

References

https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702eba99a38aba Patch, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-374m-jm66-3vj8 Exploit, Patch, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702eba99a38aba Patch, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-374m-jm66-3vj8 Exploit, Patch, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)