Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/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-2023-3822 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Pimcore Pimcore. Its CVSS base score is 6.1 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Protocol or Service Impersonation (T1001.003); ranked at the 44th percentile by exploit likelihood (below the median); 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.
CVE-2023-3822 is a reflected cross-site scripting vulnerability (CWE-79) affecting the Pimcore open-source platform prior to version 10.6.4. The flaw resides in the web application code and carries a CVSS 3.1 score of 6.1, reflecting network attack vector, low attack complexity, no required privileges, and required user interaction with changed scope.
An unauthenticated remote attacker can craft a malicious URL containing a reflected script payload; when a victim user follows the link, the script executes in the context of the Pimcore application, enabling limited data exposure and modification within the victim’s session.
Public references point to a specific commit (d75888a9b14baaad591548463cca09dfd1395236) that resolves the issue, indicating that upgrading to Pimcore 10.6.4 or later is the primary mitigation. The associated huntr.dev bounty report documents the coordinated disclosure and patch process.
EPSS remains flat at 0.1097 with no reported real-world exploitation activity.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-2153
Vulnerability Data
Cross-site Scripting (XSS) - Reflected in GitHub repository pimcore/pimcore prior to 10.6.4.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.1.2V1.3.2
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.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Validates web inputs to reject script-related content that could produce XSS.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.
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 introduction of XSS via coding standards/testing (mostly), yet the single broad outcome leaves many specific neutralization vectors unaddressed (partial).
Patching and EOL replacement can remediate known XSS instances in libraries or frameworks (partial) but do nothing to enforce input neutralization in application code (none).
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 promotes membership in groups to improve knowledge, receive alerts, and share information; it performs no action that stops XSS exploitation (or even the underlying neutralization defect) and is a pure dependency for other controls per the owner's labeling rule.