CVE-2023-30444

MEDIUMCVSS 6.5/10EPSS 0.40%

Last modified

CVE-2023-30444 is a medium-severity vulnerability rated 6.5/10 on the CVSS scale. 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. EPSS estimates a 0.40% chance of exploitation in the next 30 days.

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.

Metrics

CVSS 3.1
6.5/10

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

EPSS Probability
0.40%

32.2th percentile

Probability of exploitation in the next 30 days. Learn more

Weakness Enumeration

Affected Software

VendorProductVersions
IbmWatson Machine Learning On Cloud Pak For Data4.0
IbmWatson Machine Learning On Cloud Pak For Data4.5

References

Timeline

Published
Last Modified
Status
Modified

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 score of 6.5/10 (MEDIUM severity). The EPSS model estimates a 0.40% probability of exploitation in the next 30 days.
How do I fix CVE-2023-30444?
Check the vendor references and advisories linked above for patched versions and mitigation guidance. You can also run a Strix scan to test if your systems are affected.

Are you affected by CVE-2023-30444?

Run a free Strix scan to check your systems for this vulnerability.

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Source: NVD / NIST