CVE-2023-30444 describes a Server-Side Request Forgery (SSRF) vulnerability in IBM Watson Machine Learning on Cloud Pak for Data versions 4.0 and 4.5. An authenticated attacker can exploit this to send unauthorized requests from the system, potentially enabling network enumeration or facilitating further attacks. With a CVSS score of 6.5 (Medium), this vulnerability has a low attack complexity and requires low privileges, but can lead to high confidentiality impact. Currently, there is no evidence of active exploitation, public exploit code (Metasploit, Nuclei, ExploitDB), or significant community discussion or media coverage.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
4.0CPE matchmatch criteria | cpe:2.3:a:ibm:watson_machine_learning_on_cloud_pak_for_data:4.0:*:*:*:*:*:*:* | ||
4.5CPE matchmatch criteria | cpe:2.3:a:ibm:watson_machine_learning_on_cloud_pak_for_data:4.5:*:*:*:*:*:*:* |
CVSS version used by this source: 3.1
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N
The average CVE in this peer group has 0.0 Twitter, 0.0 Reddit, 0.1 Bluesky, 0.0 Mastodon, and 0.1 GitHub mentions.
No media coverage found for this CVE.
The average CVE in this peer group has 0.0 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.
Remediation records are not available for this CVE.