Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:NSummary
CVE-2026-39341 is a high-severity SQL Injection (CWE-89) vulnerability in Churchcrm Churchcrm. Its CVSS base score is 8.1 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 20th 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.
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-2026-39341 is a time-based SQL injection vulnerability (CWE-89) affecting ChurchCRM, an open-source church management system, in versions prior to 7.1.0. The issue stems from improper input validation in the endpoint Reports/ConfirmReportEmail.php?familyId=, where user input is sanitized but the sanitized version is not used when constructing the SQL query. This flaw has a CVSS v3.1 base score of 8.1 (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N), indicating high severity due to its potential for remote exploitation with low privileges.
A low-privileged remote attacker can exploit this vulnerability over the network with low complexity and no user interaction required. By injecting malicious payloads into the familyId parameter, the attacker can manipulate SQL queries to extract sensitive data from the database (high confidentiality impact) or modify database contents (high integrity impact), though availability is unaffected.
The ChurchCRM security advisory at https://github.com/ChurchCRM/CRM/security/advisories/GHSA-3h69-vjff-jj5c confirms the vulnerability and states it is fixed in version 7.1.0, recommending users upgrade to this release or later to mitigate the issue through proper input sanitization in the affected endpoint.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-19843
Vulnerability Data
ChurchCRM is an open-source church management system. Prior to 7.1.0, the application is vulnerable to time-based SQL injection due to an improper input validation. Endpoint Reports/ConfirmReportEmail.php?familyId= is not correctly sanitising user input, specifically, the sanitised input is not used to…
more
create the SQL query. 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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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 untrusted data from reaching SQL query construction without neutralization.
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 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.