CVE-2020-15212 is a high-severity vulnerability affecting TensorFlow Lite versions prior to 2.2.1 and 2.3.1. It allows attackers to trigger out-of-bounds writes in heap-allocated buffers by manipulating segment IDs in models using segment sum, potentially leading to memory corruption and segmentation faults. With a CVSS score of 8.6, this vulnerability is easily exploitable over the network with low attack complexity, impacting confidentiality, integrity, and availability. There is currently no evidence of active exploitation, public exploit code, or significant community discussion, and it is not listed in CISA's KEV catalog.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
>= 2.2.0, < 2.2.1CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:* | ||
>= 2.3.0, < 2.3.1CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:* |
CVSS version used by this source: 3.1
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:H
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The average CVE in this peer group has 0.1 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.