CVE-2020-15208 is a critical out-of-bounds read/write vulnerability affecting TensorFlow-Lite versions prior to 1.15.4, 2.0.3, 2.1.2, 2.2.1, and 2.3.1, as well as Google Leap and OpenSUSE products utilizing these versions. The flaw stems from an incorrect assumption about tensor dimension sizes, allowing attackers to craft malicious inputs that lead to memory corruption. With a CVSS score of 9.8 (CRITICAL), this vulnerability is remotely exploitable with low attack complexity, potentially leading to complete compromise of confidentiality, integrity, and availability. There is currently no evidence of active exploitation, public exploit code (Metasploit, Nuclei, ExploitDB), or significant community discussion or media coverage.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
< 1.15.4CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:* | ||
>= 2.0.0, < 2.0.3CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:* | ||
>= 2.1.0, < 2.1.2CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:* | ||
>= 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:U/C:H/I:H/A:N
The average CVE in this peer group has 0.0 Twitter, 0.1 Reddit, 0.3 Bluesky, 0.3 Mastodon, and 2.4 GitHub mentions.
No media coverage found for this CVE.
The average CVE in this peer group has 0.3 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.