XSS in Mldb Machine Learning Database
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.
Vulnerability class: XSS (Cross-Site Scripting)
Published · last modified .
CVSS v3 metric
CVSS v3 base score 6.1 (Medium). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N.
EPSS exploit prediction
EPSS: 0.006 (47.2th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 47th percentile — 47.2% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.006 · newest: 0.006 · change: 0.000
Affected products
- Mldb Machine Learning Database — versions 2017.04.17.0
Weakness classification (CWE)
References
- gist.github.com/cd80/a75b618419d5afb137cd5a29e8156420 (Third Party Advisory)
Frequently asked questions
- What is CVE-2023-46492?
- CVE-2023-46492 is a medium-severity vulnerability in Mldb Machine Learning Database, classified under Cross-site Scripting. CVSS score: 6.1/10. Published 2023-11-09.
- How severe is CVE-2023-46492?
- Medium severity. CVSS v3 base score is 6.1 out of 10.