CVE-2020-15210
Published: Sep 25, 2020
Modified: Aug 4, 2024
CVSS v3.1
6.5
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.
| Vendor | Product | Versions |
|---|---|---|
tensorflow | tensorflow | affected < 1.15.4affected >= 2.0.0, < 2.0.3affected >= 2.1.0, < 2.1.2affected >= 2.2.0, < 2.2.1affected >= 2.3.0, < 2.3.1 |
Weaknesses (CWE)
CVSS v3.1 Details
CVSS v3.1 Vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H
Attack Vector
Attack Complexity
Privileges Required
User Interaction
Scope
Confidentiality
Integrity
Availability
References
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