CVE-2023-42406
SQLi in Dlink Dar-7000 Firmware 31r02b1413c
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2023-42406 is a critical-severity SQL Injection (CWE-89) vulnerability in Dlink Dar-7000 Firmware. 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 22% 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.
CVE-2023-42406 is a SQL injection vulnerability (CWE-89) affecting the D-Link Online behavior audit gateway DAR-7000 running firmware V31R02B1413C. The flaw resides in the editrole.php component and carries a CVSS 3.1 score of 9.8, reflecting network-accessible exploitation with no required credentials or user interaction and full impact on confidentiality, integrity, and availability.
An unauthenticated remote attacker can supply crafted input to editrole.php to extract sensitive data or execute arbitrary code on the device. Successful exploitation grants the attacker complete control over the affected gateway without prior authentication.
Public references consist of GitHub repositories that document the injection vector and provide reproduction details; no vendor advisory, patch information, or official mitigation guidance appears among the listed sources. The associated EPSS score reached a peak of 0.2705 and currently stands at 0.2129.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-46858
Vulnerability Data
SQL injection vulnerability in D-Link Online behavior audit gateway DAR-7000 V31R02B1413C allows a remote attacker to obtain sensitive information and execute arbitrary code via the editrole.php component.
- 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.