Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2023-47637 is a high-severity SQL Injection (CWE-89) vulnerability in Pimcore Pimcore. Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 34% 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.
Pimcore, an open source data and experience management platform, is affected by a SQL injection vulnerability in the /admin/object/grid-proxy endpoint. The endpoint passes request input directly to getFilterCondition() implementations on class fields and then executes the returned SQL; the Multiselect field implementation performs no normalization, escaping, or validation of the supplied value, resulting in CWE-89 exposure.
Any authenticated backend user with basic permissions can exploit the flaw to execute arbitrary SQL statements, alter arbitrary data, or escalate privileges to at least administrator level. The attack requires no user interaction and can be performed over the network.
The issue was resolved in Pimcore 11.1.1; the project security advisory and associated commits on GitHub document the patch, and the maintainers state that no workarounds exist.
The EPSS score has remained elevated near its peak of 0.7713 with a current value of 0.7657.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-2903
Vulnerability Data
Pimcore is an Open Source Data & Experience Management Platform. In affected versions the `/admin/object/grid-proxy` endpoint calls `getFilterCondition()` on fields of classes to be filtered for, passing input from the request, and later executes the returned SQL. One implementation of…
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`getFilterCondition()` is in `Multiselect`, which does not normalize/escape/validate the passed value. Any backend user with very basic permissions can execute arbitrary SQL statements and thus alter any data or escalate their privileges to at least admin level. This vulnerability has been addressed in version 11.1.1. Users are advised to upgrade. There are no known workarounds for this vulnerability.
- 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.