Cyber Resilience

CVE-2023-46492

Medium

Published: 09 November 2023

Published
09 November 2023
Modified
21 November 2024
KEV Added
—
Patch
—
CVSS Score v3.1 6.1 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
EPSS Score 0.0024 46.8th percentile
Risk Priority 12 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2023-46492 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Mldb Machine Learning Database. Its CVSS base score is 6.1 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique JavaScript (T1059.007); ranked at the 46.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

This vulnerability is AI-related — categorised as Other Platforms; in the Other ATLAS/OWASP Terms risk domain.

EU & UK References

Vulnerability details

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.

CWE(s)
CWE-79

AI Security AnalysisAI

AI Category
Other Platforms
Risk Domain
Other ATLAS/OWASP Terms
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
MLDB.ai (github.com/mldbai/mldb) is an open-source machine learning platform/server for building and deploying ML applications, fitting 'Other Platforms'. The XSS vulnerability is in its web interface (public_html/doc/index.html).

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1059.007 JavaScript Execution
Adversaries may abuse various implementations of JavaScript for execution.
attack.mitre.org →
T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
attack.mitre.org →
Why these techniques?

DOM-based XSS in a public-facing web application enables exploitation of the application (T1190) to execute arbitrary JavaScript in the victim's browser (T1059.007) via crafted URLs.

Affected Assets

mldb
machine learning database
2017.04.17.0

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

CA-8 Penetration Testing
addresses: CWE-79

Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.

SI-10 Information Input Validation
addresses: CWE-79

Validates web inputs to reject script-related content that could produce XSS.

SI-15 Information Output Filtering
addresses: CWE-79

Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.

References