Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2026-3023 is a medium-severity Improper Neutralization of Special Elements in Data Query Logic (CWE-943) vulnerability in Wakyma Wakyma. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 26th 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-2026-3023 is a non-relational SQL injection vulnerability (NoSQLi) in the Wakyma web application, specifically in the endpoint 'vets.wakyma.com/pets/print-tags'. Published on 2026-03-16T14:19:45.663, it carries a CVSS v3.1 base score of 8.8 (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H) and maps to CWE-943 (Improper Neutralization of Special Elements in Data Query Logic) and CWE-89 (Improper Neutralization of Special Elements used in an SQL Command).
The vulnerability can be exploited over the network by an authenticated user with low privileges through alteration of a POST request to the affected endpoint, enabling injection of NoSQL commands. Successful exploitation allows the attacker to list both pets and owner names, with the high CVSS impacts indicating potential for significant confidentiality, integrity, and availability compromise.
Mitigation details are available in the INCIBE-CERT advisory on multiple vulnerabilities in the Wakyma web application, accessible at https://www.incibe.es/en/incibe-cert/notices/aviso/multiple-vulnerabilities-wakyma-application-web.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-12395
- 🇪🇸 INCIBE: www.incibe.es
Vulnerability Data
Non-relational SQL injection vulnerability (NoSQLi) in the Wakyma web application, specifically in the endpoint 'vets.wakyma.com/pets/print-tags'. This vulnerability could allow an authenticated user to alter a POST request to the affected endpoint for the purpose of injecting NoSQL commands, allowing them…
more
to list both pets and owner names.
- 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 unneutralized special elements from reaching query logic.
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 require parameterized queries and input neutralization to prevent query-logic injection.
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.
Security testing in development catches injection vulnerabilities before release but does not itself implement the fix.
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 development life cycle mandates input validation and query parameterization that directly prevent injection flaws.
Application security requirements explicitly call for controls against injection and improper query construction.
Secure architecture principles reduce the likelihood of query-logic flaws but do not prescribe the specific coding practice.