Security Resilience

CVE-2023-49796

Mindsdb 23.7.4.1

Published
11 December 2023
Modified
21 November 2024
Patch / advisory
CVSS Score v3.1 5.3
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
EPSS Score 0.0049 41th percentile
Risk Priority 46 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2023-49796 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Mindsdb Mindsdb. Its CVSS base score is 5.3 (Medium).

Operationally, ranked at the 41th 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 AI Platforms; in the Other ATLAS/OWASP Terms risk domain.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

MindsDB connects artificial intelligence models to real time data. Versions prior to 23.11.4.1 contain a limited file write vulnerability in `file.py` Users should use MindsDB's `staging` branch or v23.11.4.1, which contain a fix for the issue.

CWE(s)

AI Security AnalysisAI

AI Category
Other AI Platforms
Risk Domain
Other ATLAS/OWASP Terms
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
MindsDB is an AI platform that connects artificial intelligence models to real-time data sources, fitting as an 'Other Platforms' category for AI infrastructure and integration tools.

Related Threats

CVEs Like This One

CVE-2024-45848Same product: Mindsdb Mindsdb
CVE-2024-45851Same product: Mindsdb Mindsdb
CVE-2024-45855Same product: Mindsdb Mindsdb
CVE-2024-45856Same product: Mindsdb Mindsdb
CVE-2024-45847Same product: Mindsdb Mindsdb
CVE-2024-45852Same product: Mindsdb Mindsdb
CVE-2023-38699Same product: Mindsdb Mindsdb
CVE-2024-45853Same product: Mindsdb Mindsdb
CVE-2023-50731Same product: Mindsdb Mindsdb
CVE-2024-45850Same product: Mindsdb Mindsdb

Affected Assets

mindsdb
mindsdb
23.7.4.1

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.

addresses: CWE-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-20

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

blocks

A.8.25 mandates security requirements, secure coding guidelines, checkpoints, testing (incl. code scans) and developer training in the SDLC, which reaches a slice of input validation defects but leaves the majority (incomplete enforcement, second-order inputs, parser differentials, post-validation canonicalization) unaddressed as in the SA-3 and A.8.28 anchors.

blocks

Mandating input controls that include integrity checks and input validation ensures that untrusted data is examined before use, blocking the root cause of many injection and malformed-data weaknesses.

blocks

Security-by-design principles explicitly call for data validation and sanitization at every layer, reducing the chance that malformed or malicious input will be processed without scrutiny.

prevents

Requiring language-specific secure coding standards, peer review, SAST and documented mitigation of common programming errors forces validation of all inputs before they are trusted.

finds

Testing against a defined set of requirements and using code review plus vulnerability scanning forces validation of inputs and handling of unanticipated conditions, reducing the chance that malformed data will be accepted.

Hardening callouts derived

DISA STIG baselines are authored against specific weaknesses. Where this CVE cites a broad weakness class, the mapping is not asserted at that abstraction (owner ruling, 2026-09-25: grade only at Base and below), so no rule is shown here rather than a rule shown against the wrong grain.

  • No fine-grained STIG row for CWE-20, a class-level weakness, and none of its children carries one either.

References