CVE-2022-21727

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

CVSS v3.0 8.8 HIGH
CVSS v2.0 6.5 MEDIUM

8.8^/10

CVSS v3.0 : HIGH

V3 Legend

Vector :

Exploitability : 2.8 / Impact : 5.9

Attack Vector NETWORK

Attack Complexity LOW

Privileges Required LOW

User Interaction NONE

Confidentiality Impact HIGH

Integrity Impact HIGH

Availability Impact HIGH

Scope UNCHANGED

6.5^/10

CVSS v2.0 : MEDIUM

V2 Legend

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

Exploitability : 8.0 / Impact : 6.4

Access Vector NETWORK

Access Complexity LOW

Authentication SINGLE

Confidentiality Impact PARTIAL

Integrity Impact PARTIAL

Availability Impact PARTIAL

References

Link	Resource
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c6fh-56w7-fvjw	Patch Third Party Advisory
https://github.com/tensorflow/tensorflow/commit/b64638ec5ccaa77b7c1eb90958e3d85ce381f91b	Patch Third Party Advisory
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L3001-L3034	Exploit Third Party Advisory

Configurations

Configuration 1 (hide)

OR	cpe:2.3:a:google:tensorflow::::::::
	cpe:2.3:a:google:tensorflow::::::::
	cpe:2.3:a:google:tensorflow:2.7.0:::::::*

Information

Published : 2022-02-03 03:15

Updated : 2022-02-08 12:14

NVD link : CVE-2022-21727

Mitre link : CVE-2022-21727

JSON object : View

CWE

CWE-190

Integer Overflow or Wraparound

Products Affected

google

tensorflow

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8.8 /10