CVE-2023-37771
SQLi in Phpgurukul Art Gallery Management System 1.0
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2023-37771 is a critical-severity SQL Injection (CWE-89) vulnerability in Phpgurukul Art Gallery Management System. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Protocol or Service Impersonation (T1001.003); ranked in the top 26% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
Art Gallery Management System v1.0 contains a SQL injection vulnerability (CWE-89) via the cid parameter at the /agms/product.php endpoint. The flaw received a CVSS v3.1 base score of 9.8, reflecting network attackability without authentication or user interaction and full impact on confidentiality, integrity, and availability.
An unauthenticated remote attacker can supply crafted input to the cid parameter and execute arbitrary SQL commands against the backend database, enabling data exfiltration, modification, or deletion that leads to complete system compromise.
The two provided references point only to a public GitHub repository containing exploit details; they contain no advisory text, patch information, or mitigation guidance. The associated EPSS score has remained flat at 0.0545 with no material increase since disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-41647
Vulnerability Data
Art Gallery Management System v1.0 contains a SQL injection vulnerability via the cid parameter at /agms/product.php.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V6.2.5
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.
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 SDLC practices directly target injection flaws during coding and review so largely prevent CWE-89 introduction, yet the single broad outcome leaves residual risk from incomplete neutralization techniques or missed edge cases.
Training raises developer awareness of SQLi risks and can reduce introduction likelihood (partial) but removes none of the actual coding flaw's risk by itself since technical neutralization is still required.
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.
A.5.6 only improves knowledge flow, awareness of threats/patches and access to specialist advice; it does not stop SQL injection from being exploitable in code that still contains the flaw.