Raw vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:HSummary
CVE-2024-21514 is a high-severity SQL Injection (CWE-89) vulnerability in Opencart Opencart. Its CVSS base score is 7.4 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) 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.
CVE-2024-21514 is an SQL injection vulnerability (CWE-89) in the Divido payment extension bundled with OpenCart. It affects all versions of the opencart/opencart package from 0.0.0 onward and is present by default in version 3.0.3.9. The flaw resides in the extension's handling of unsanitized input, specifically in catalog/model/extension/payment/divido.php.
An unauthenticated remote attacker can trigger the injection whenever the Divido module is installed, even if it remains disabled. Exploitation grants direct access to the backend database, enabling an attacker to extract the full contents, including customer PII, or to perform other unauthorized database operations.
Public references point to a corrective commit (46bd5f5a8056ff9aad0aa7d71729c4cf593d67e2) that patches the vulnerable query construction. The current EPSS score of 0.6604 has shown no material post-disclosure rise from a lower baseline.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-1960
Vulnerability Data
This affects versions of the package opencart/opencart from 0.0.0. An SQL Injection issue was identified in the Divido payment extension for OpenCart, which is included by default in version 3.0.3.9. As an anonymous unauthenticated user, if the Divido payment module…
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is installed (it does not have to be enabled), it is possible to exploit SQL injection to gain unauthorised access to the backend database. For any site which is vulnerable, any unauthenticated user could exploit this to dump the entire OpenCart database, including customer PII data.
- 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
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover SQLi flaws before deployment but does not stop their introduction.
Input validation directly stops untrusted data from reaching SQL query construction without neutralization.
Secure engineering principles require parameterized queries and input sanitization that structurally eliminate SQLi.
System monitoring can identify attempted SQLi exploitation via anomalous queries after the weakness exists.
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.