Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/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-2026-39332 is a high-severity Cross-site Scripting (CWE-79) vulnerability in Churchcrm Churchcrm. Its CVSS base score is 8.7 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked at the 11th 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.
ChurchCRM, an open-source church management system, contains a reflected Cross-Site Scripting (XSS) vulnerability designated as CVE-2026-39332 in its GeoPage.php component prior to version 7.1.0. This issue, linked to CWE-79 and rated 8.7 on the CVSS v3.1 scale (AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:N), enables the injection of arbitrary JavaScript code into the browsers of other users.
Any authenticated user can exploit this vulnerability against another authenticated user by crafting a malicious form submission. The injected payload executes automatically via the autofocus attribute without requiring additional user interaction, allowing the attacker to steal session cookies and fully compromise the victim's account, including administrator privileges.
The vulnerability is addressed in ChurchCRM version 7.1.0. Additional details on the issue and remediation are available in the GitHub security advisory at https://github.com/ChurchCRM/CRM/security/advisories/GHSA-hc6g-h48v-wqvq.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-19827
Vulnerability Data
ChurchCRM is an open-source church management system. Prior to 7.1.0, a reflected Cross-Site Scripting (XSS) vulnerability in GeoPage.php allows any authenticated user to inject arbitrary JavaScript into the browser of another authenticated user. Because the payload fires automatically via autofocus…
more
with no user interaction required, an attacker can steal session cookies and fully take over any victim account, including administrator accounts, by tricking them into submitting a crafted form. This vulnerability is fixed in 7.1.0.
- 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
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover missing or incorrect input neutralization through targeted web-application tests.
Input validation directly enforces neutralization of untrusted data before it reaches web output generation.
Output filtering can catch or sanitize unneutralized script content before it is served to users.
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.
Knowledge exchange on emerging attack techniques and patches reduces the likelihood that cross-site scripting flaws remain unaddressed in deployed applications.
Operational indicators of compromise for web-application attacks can be incorporated into WAF or input-filtering rules, lowering the likelihood that unsanitized data reaches the browser.
Requiring language-specific secure-coding standards and automated scanning during the SDLC catches missing output encoding or improper neutralization of untrusted data before the software reaches production.
Secure-coding standards, SAST scans and removal of insecure code samples together eliminate the failure to neutralize script content that produces cross-site scripting flaws.
Secure-coding testing and automated code-analysis tools are applied to detect improper neutralization of script-related content during web-page generation.