Raw vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:LSummary
CVE-2024-29063 is a high-severity Use of Hard-coded Credentials (CWE-798) vulnerability in Microsoft Azure Ai Search. Its CVSS base score is 7.3 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Unsecured Credentials (T1552); ranked in the top 47% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Similarity Search; in the Privacy and Disclosure risk domain.
The strongest mitigations our analysis identified map to IA-5 (Authenticator Management) and SC-12 (Cryptographic Key Establishment and Management) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-26110
Vulnerability Data
Azure AI Search Information Disclosure Vulnerability
- CWE(s)
AI Security AnalysisAI
- AI Category
- Similarity Search
- Risk Domain
- Privacy and Disclosure
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Azure AI Search is a cloud-based AI-powered search platform providing semantic, vector, and hybrid search capabilities for AI applications like RAG, fitting under Other Platforms as an enterprise AI service.
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Authenticator management requires secure distribution and handling of credentials, structurally discouraging hard-coded values.
Cryptographic key management mandates proper establishment and handling instead of embedding keys in code.
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.
PR.AA-01's credential/key-management processes can reduce the incentive to embed secrets but do not address or detect hard-coded values in source code, so the weakness remains fully possible.
PR.AA-02 addresses human identity proofing and per-person credential issuance at enrollment; it has no bearing on whether developers embed static credentials in software.
PR.DS-01 addresses encryption and integrity of stored data but never touches credential or key management practices, so it neither prevents hard-coded credentials nor removes any of their risk.
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.
Education on secure configuration practices discourages technical staff from embedding or relying on hard-coded credentials in systems and applications.
Secure key-generation, distribution and storage procedures reduce the likelihood that hard-coded or default cryptographic keys will be introduced or left unprotected.
Explicit prohibition of hard-coded passwords and unauthenticated external services stops credentials from being embedded directly in source code.
Contractual requirements for secure coding practices and evidence of testing make it less likely that hard-coded credentials will be introduced or remain undetected in delivered code.
Requiring independent oversight and timely disabling of non-human identities makes it harder for hard-coded or long-lived credentials to remain exploitable.
Mandating immediate replacement of vendor-supplied default credentials eliminates the use of hard-coded or factory passwords that attackers can trivially obtain from documentation or firmware.