CVE-2020-15210

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.
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Configurations

Configuration 1 (hide)

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

Configuration 2 (hide)

cpe:2.3:o:opensuse:leap:15.2:*:*:*:*:*:*:*

Information

Published : 2020-09-25 12:15

Updated : 2021-11-18 09:27


NVD link : CVE-2020-15210

Mitre link : CVE-2020-15210


JSON object : View

CWE
CWE-787

Out-of-bounds Write

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Products Affected

google

  • tensorflow

opensuse

  • leap