Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:LSummary
CVE-2024-24759 is a critical-severity SSRF (CWE-918) vulnerability in Mindsdb Mindsdb. Its CVSS base score is 9.3 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as Enterprise AI Assistants; in the Other ATLAS/OWASP Terms risk domain.
The strongest mitigations our analysis identified map to AC-4 (Information Flow Enforcement) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
MindsDB is an open-source platform for building AI models from enterprise data. Prior to version 23.12.4.2, the software was vulnerable to a server-side request forgery flaw (CWE-918) that could be bypassed through DNS rebinding attacks, allowing an attacker to circumvent existing SSRF protections across the application and potentially trigger denial-of-service conditions. The issue received a CVSS 3.1 score of 9.3, reflecting network-accessible exploitation with low attack complexity and no required credentials.
An unauthenticated remote attacker can exploit the weakness by sending crafted requests that leverage DNS rebinding to reach internal resources or services otherwise protected by the SSRF controls. Successful exploitation can result in disclosure of sensitive information from internal systems and limited availability impact through denial of service.
The official GitHub Security Advisory GHSA-4jcv-vp96-94xr and the corresponding patch commit confirm that upgrading to MindsDB 23.12.4.2 resolves the DNS rebinding bypass. The current EPSS score of 0.8079, with a recorded peak of 0.8279, indicates sustained exploitation interest following disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-0104
Vulnerability Data
MindsDB is a platform for building artificial intelligence from enterprise data. Prior to version 23.12.4.2, a threat actor can bypass the server-side request forgery protection on the whole website with DNS Rebinding. The vulnerability can also lead to denial of…
more
service. Version 23.12.4.2 contains a patch.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Enterprise AI Assistants
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- MindsDB is explicitly described as a platform for building artificial intelligence from enterprise data, aligning with Enterprise AI Assistants as it targets enterprise use cases for AI integration.
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.6V1.5.3V5.3.2V10.4.7
Mitigating Controls (NIST 800-53 r5) AI
Information flow enforcement can restrict which destinations the server is allowed to contact on behalf of users.
Input validation directly stops untrusted URLs from being accepted and fetched without destination checks.
Boundary protection limits the network reach of server-initiated requests even if SSRF occurs.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure development practices directly include input validation and destination allow-listing that prevent SSRF.
Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.
Vulnerability identification processes can discover and record SSRF flaws in web applications.
Network segmentation and egress controls can limit the damage from successful SSRF requests.
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.
Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.