CVE-2023-30444 | BDVDB-2026-201137 Detail

IBMWatson Machine Learning on Cloud Pak for Data

Description#

IBM Watson Machine Learning on Cloud Pak for Data 4.0 and 4.5 is vulnerable to server-side request forgery (SSRF). This may allow an authenticated attacker to send unauthorized requests from the system, potentially leading to network enumeration or facilitating other attacks. IBM X-Force ID: 253350.

Impact#

Per CVSS v3.1: confidentiality impact high, integrity impact low, availability impact none. Attack vector: network.

Weaknesses#

CWE-918 Server-Side Request Forgery (SSRF)

References#

https://www.ibm.com/support/pages/node/6985859

Exploit#

No public exploit known

History#

Version 12023-04-27Record published in the CVE List.
Version 22025-01-30Most recent update recorded in the CVE List.

Published

Published: 2023-04-27
Last modified: 2025-01-30

Vendor information

Vendor: IBM
Product: Watson Machine Learning on Cloud Pak for Data

All IBM vulnerabilities

Score

7.1 High

EPSS

less than 1%, Very Low

Estimated chance of exploitation in the next 30 days. EPSS percentile: 34.9.

KEV

Not listed in the CISA Known Exploited Vulnerabilities catalog.

Impact

Server-Side Request Forgery

Action

No specific action is recorded in the source data. Check the references for vendor guidance.

Affected Systems

Vulnerable
4.0, 4.5
Fixed
Not stated

Scoring System

CVSS v4.0

Not available

CVSS v3.1

7.1 High

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N

Metric breakdown
Attack Vector	Network
Attack Complexity	Low
Privileges Required	Low
User Interaction	None
Scope	Unchanged
Confidentiality	High
Integrity	Low
Availability	None

CVSS v3.0

Not available

CVSS v2

Not available

Source: CVE List v5 (record); CISA KEV (kev, action); FIRST EPSS (epss).