CVE-2023-30444
IBM Watson Machine Learning on Cloud Pak for Data server-side request forgery
Published Apr 27, 2023
CVSS 3.1 · 7.1 High
EPSS < 1%
KEV · Not listed
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.
Affected Products
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CVE record
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NVD configurations
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Red Hat packages
No data
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OpenCVE enrichment
No data
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
|---|---|---|---|---|---|---|---|---|---|
| IBM | Watson Machine Learning on Cloud Pak for Data | unaffected |
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Configuration 1 [-]
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No data.
No data available yet.
Remediation
Tracking
Advisories
| Source | ID | Title |
|---|---|---|
 EUVD |
EUVD-2023-34862 | 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. |
Metrics
No CVSS v4.0
Attack Vector Network
Attack Complexity Low
Privileges Required Low
Scope Unchanged
Confidentiality Impact High
Integrity Impact Low
Availability Impact None
User Interaction None
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.404% probability within 30 days)
Exploitation none
Automatable no
Technical Impact partial
References
| Link | Providers |
|---|---|
| https://www.ibm.com/support/pages/node/6985859 |
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History
Jan 30, 2025 9:15 PM
Scoring metrics updated
View changes
| Type | Values Removed | Values Added |
|---|---|---|
| Metrics |
ssvc
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Subscriptions
Weaknesses
