Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:NCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2024-13440 is a high-severity SQL Injection (CWE-89) vulnerability in Superstorefinder Super Store Finder. Its CVSS base score is 8.2 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Protocol or Service Impersonation (T1001.003); ranked at the 31th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
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-2024-13440 is a SQL injection vulnerability in the Super Store Finder plugin for WordPress, affecting all versions up to and including 7.0. The issue stems from insufficient escaping of the user-supplied ‘ssf_wp_user_name’ parameter and lack of sufficient preparation in the existing SQL query, as classified under CWE-89.
Unauthenticated attackers can exploit this vulnerability remotely with low complexity and no user interaction, appending additional SQL queries to an existing one. This enables them to store cross-site scripting payloads in store reviews, resulting in high confidentiality impact and low integrity impact, per its CVSS v3.1 base score of 8.2 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N).
Mitigation details are available in the vendor's patch notes at https://superstorefinder.net/support/forums/topic/super-store-finder-for-wordpress-patch-notes/ and Wordfence's threat intelligence advisory at https://www.wordfence.com/threat-intel/vulnerabilities/id/cc468bfd-b9a2-4fe6-b896-d738c767146a?source=cve.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-51603
Vulnerability Data
The Super Store Finder plugin for WordPress is vulnerable to SQL Injection via the ‘ssf_wp_user_name’ parameter in all versions up to, and including, 7.0 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the…
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existing SQL query. This makes it possible for unauthenticated attackers to append additional SQL queries into an already existing query to store cross-site scripting in store reviews.
- 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.
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.