CVE-2025-47995 describes a weak authentication vulnerability in Microsoft Azure Machine Learning that permits an authorized attacker to elevate privileges over a network. This vulnerability carries a high CVSS score of 8.8, indicating a critical risk due to its network-based attack vector, low attack complexity, and high impact on confidentiality, integrity, and availability. While no active exploitation, public exploit code, or significant community discussion has been observed, its high FAUCET Risk Score of 83/100 warrants attention.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
Range not provided by sourceCPE matchmatch criteria | cpe:2.3:a:microsoft:azure_machine_learning:-:*:*:*:*:*:*:* |
CVSS version used by this source: 3.1
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
The average CVE in this peer group has 0.0 Twitter, 0.0 Reddit, 0.3 Bluesky, 0.1 Mastodon, and 0.2 GitHub mentions.
No media coverage found for this CVE.
The average CVE in this peer group has 0.1 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.