Raw vector
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:NSummary
CVE-2026-22242 is a medium-severity SQL Injection: Hibernate (CWE-564) vulnerability in Coreshop Coreshop. Its CVSS base score is 4.9 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 33th percentile by exploit likelihood (below the median); 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.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-1677
Vulnerability Data
CoreShop is a Pimcore enhanced eCommerce solution. Prior to version 4.1.8, a blind SQL injection vulnerability exists in the application that allows an authenticated administrator-level user to extract database contents using boolean-based or time-based techniques. The database account used by…
more
the application is read-only and non-DBA, limiting impact to confidential data disclosure only. No data modification or service disruption is possible. This issue has been patched in version 4.1.8.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
—
—
—
V6.2.5
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and static analysis can discover dynamic-query construction flaws before deployment.
Input validation directly stops untrusted data from being concatenated into dynamic Hibernate queries.
Requiring documented secure-development standards and tools reduces use of unsafe dynamic SQL patterns.
Secure engineering principles require parameterized queries or ORM-safe APIs instead of string-built SQL.
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 prevent dynamic SQL construction from untrusted input.
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 can detect injection flaws but does not prevent them at design time.
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 SDLC mandates input validation and ORM usage that reduce dynamic SQL injection risk.
Application security requirements include secure query construction and ORM parameter binding.
Secure architecture principles discourage dynamic SQL but do not directly address Hibernate misuse.