How severe is CVE-2023-30444?

CVE-2023-30444 has a CVSS 3.x base score of 7.1, rated high severity. It is exploitable over network with low attack complexity, requires low privileges and no user interaction. Impact on confidentiality is high, integrity low, and availability none.

Is CVE-2023-30444 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (32nd percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2023-30444?

CVE-2023-30444 primarily affects Ibm Watson Machine Learning On Cloud Pak For Data. In total, 2 product configurations (CPEs) are listed as vulnerable; see the affected-products list for the exact versions.

How do I fix CVE-2023-30444?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.

When was CVE-2023-30444 published?

CVE-2023-30444 was published on 2023-04-27 and last updated on 2026-06-17.

CVE-2023-30444

CVE-2023-30444 is a high-severity vulnerability in Ibm Watson Machine Learning On Cloud Pak For Data with a CVSS 3.x base score of 7.1. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-918.

Key facts

Severity: High (CVSS 3.x base score 7.1)
EPSS exploit prediction: 0% (32nd percentile)
Actively exploited: Not listed in CISA KEV
Weakness: CWE-918
Affected product: Ibm Watson Machine Learning On Cloud Pak For Data
Published: 2023-04-27
Last modified: 2026-06-17

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.

Frequently asked questions

What is CVE-2023-30444?: 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.
How severe is CVE-2023-30444?: CVE-2023-30444 has a CVSS 3.x base score of 7.1, rated high severity. It is exploitable over network with low attack complexity, requires low privileges and no user interaction. Impact on confidentiality is high, integrity low, and availability none.
Is CVE-2023-30444 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (32nd percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2023-30444?: CVE-2023-30444 primarily affects Ibm Watson Machine Learning On Cloud Pak For Data. In total, 2 product configurations (CPEs) are listed as vulnerable; see the affected-products list for the exact versions.
How do I fix CVE-2023-30444?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.
When was CVE-2023-30444 published?: CVE-2023-30444 was published on 2023-04-27 and last updated on 2026-06-17.

References

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

Affected products (2)

cpe:2.3:a:ibm:watson_machine_learning_on_cloud_pak_for_data:4.0:*:*:*:*:*:*:*
cpe:2.3:a:ibm:watson_machine_learning_on_cloud_pak_for_data:4.5:*:*:*:*:*:*:*

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