CVE-2018-10055 describes a critical vulnerability in Google TensorFlow versions prior to 1.7.1, specifically affecting the XLA compiler. This flaw involves an invalid memory access or heap buffer overflow, which could lead to a system crash or unauthorized reading of process memory through a specially crafted configuration file. Rated with a CVSS score of 8.1 (High), it presents a significant risk due to its network-based attack vector and high impact on confidentiality and availability, requiring user interaction. Despite its severity, there is no evidence of active exploitation, publicly available exploit code, or significant community discussion surrounding this vulnerability.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
< 1.7.1CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* |
CVSS version used by this source: 3.0
CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:H
The average CVE in this peer group has 0.0 Twitter, 0.1 Reddit, 0.2 Bluesky, 0.1 Mastodon, and 0.2 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 0.1 Security Researcher mentions.