CVE-2023-43374
SQLi in Digitaldruid Hoteldruid 3.0.5
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2023-43374 is a critical-severity SQL Injection (CWE-89) vulnerability in Digitaldruid Hoteldruid. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 13% 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.
Hoteldruid version 3.0.5 contains a SQL injection vulnerability (CWE-89) in the id_utente_log parameter processed by the /hoteldruid/personalizza.php script. The flaw received a CVSS 3.1 base score of 9.8, reflecting network-accessible, unauthenticated exploitation with no required user interaction and full impact on confidentiality, integrity, and availability.
An attacker can supply a crafted value to the vulnerable parameter over the network to execute arbitrary SQL commands against the underlying database. Successful exploitation grants the ability to read, modify, or delete application data and potentially escalate to broader system compromise without any prior authentication.
Public references consist of a technical disclosure posted to Notion that details the injection vector; no vendor advisory, patch information, or mitigation guidance appears in the available sources. The associated EPSS score has remained flat at 0.2383 with no material increase since publication.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-47790
Vulnerability Data
Hoteldruid v3.0.5 was discovered to contain a SQL injection vulnerability via the id_utente_log parameter at /hoteldruid/personalizza.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.
The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.
Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.
Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.
Secure-coding rules and security testing phases mandate the use of parameterized queries or equivalent escaping, preventing the construction of dynamic SQL statements from untrusted input.
Language-specific secure coding rules, peer review and SAST together prevent the construction of SQL statements from untrusted data without proper parameterization or escaping.