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CVE-2020-15210

nvd nist
Published: Sep 25, 2020Modified: Nov 21, 2024

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6.5
Vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H
Exploitability: 2.2 / Impact: 4.2
Source: NVD

Description

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Affected (6)

Google
1 product
Tensorflow
Opensuse
1 product
Leap
Configuration A
5 vulnerable
Vulnerable SoftwareAffected Versions
Google
Tensorflow
Before 1.15.4
Tensorflow
From 2.0.0 to 2.0.3
Tensorflow
From 2.1.0 to 2.1.2
Tensorflow
From 2.2.0 to 2.2.1
Tensorflow
From 2.3.0 to 2.3.1
Configuration B
1 vulnerable
Vulnerable SoftwareAffected Versions
Leap
Version 15.2

Related CWEs

CWE-20
Improper Input Validation
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.
CWE-787
Out-of-bounds Write
The product writes data past the end, or before the beginning, of the intended buffer.

References (8)

Source: security-advisories@github.com
Mailing ListThird Party Advisory
Source: security-advisories@github.com
PatchThird Party Advisory
Source: security-advisories@github.com
Third Party Advisory
Source: security-advisories@github.com
ExploitThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
Mailing ListThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
PatchThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
Third Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
ExploitThird Party Advisory

Timeline

No history available yet.