CVE-2020-5215 describes a denial-of-service vulnerability in TensorFlow versions prior to 1.15.2 and 2.0.1. This flaw allows an attacker to trigger a segmentation fault in eager mode by providing a string where a tf.float16 value is expected, either through malicious data points or manipulated saved models. With a CVSS score of 7.5 (HIGH), this vulnerability is easily exploitable over the network with low complexity, leading to a complete loss of availability. There is no evidence of active exploitation, public exploit code, or significant community discussion surrounding this CVE.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
< 1.15.2CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
>= 2.0.0, < 2.0.1CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* |
CVSS version used by this source: 3.1
CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:C/C:L/I:L/A:L
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No media coverage found for this CVE.
The average CVE in this peer group has 0.1 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.