CVE-2023-46492

CVE-2023-46492 is a medium-severity vulnerability in Mldb Machine Learning Database with a CVSS 3.x base score of 6.1. 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-79.

Key facts

Description

Cross Site Scripting vulnerability in MLDB.ai v.2017.04.17.0 allows a remote attacker to execute arbitrary code via a crafted payload to the public_html/doc/index.html.

Frequently asked questions

What is CVE-2023-46492?
Cross Site Scripting vulnerability in MLDB.ai v.2017.04.17.0 allows a remote attacker to execute arbitrary code via a crafted payload to the public_html/doc/index.html.
How severe is CVE-2023-46492?
CVE-2023-46492 has a CVSS 3.x base score of 6.1, rated medium severity. It is exploitable over network with low attack complexity, requires no privileges and user interaction. Impact on confidentiality is low, integrity low, and availability none.
Is CVE-2023-46492 being actively exploited?
It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (45th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2023-46492?
CVE-2023-46492 affects Mldb Machine Learning Database. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2023-46492?
Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.
When was CVE-2023-46492 published?
CVE-2023-46492 was published on 2023-11-09 and last updated on 2026-06-17.

References

Affected products (1)

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