Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2026-22243 is a high-severity SQL Injection (CWE-89) vulnerability in Egroupware Egroupware. Its CVSS base score is 8.7 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 29th 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.
EGroupware, a web-based groupware server written in PHP, contains a SQL injection vulnerability in its core components prior to versions 23.1.20260113 and 26.0.20260113. The issue resides specifically in the Nextmatch filter processing, where authenticated attackers can inject arbitrary SQL commands into the WHERE clause of database queries. This exploitation stems from a PHP type juggling weakness during JSON decoding, which converts numeric strings to integers and bypasses the application's is_int() security check.
Attackers with authenticated access (low privileges required) can exploit this vulnerability remotely over the network with low complexity and no user interaction. Successful exploitation grants high-impact confidentiality, integrity, and availability effects, as reflected in the CVSS v3.1 base score of 8.8 (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H), enabling potential data exfiltration, modification, or denial of service through crafted SQL payloads.
EGroupware has addressed the vulnerability in patches released for versions 23.1.20260113 and 26.0.20260113, available via GitHub release tags. The project's security advisory (GHSA-rvxj-7f72-mhrx) details the fix, recommending immediate upgrades for affected installations to mitigate the CWE-89 SQL injection risk.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-4883
Vulnerability Data
EGroupware is a Web based groupware server written in PHP. A SQL Injection vulnerability exists in the core components of EGroupware prior to versions 23.1.20260113 and 26.0.20260113, specifically in the `Nextmatch` filter processing. The flaw allows authenticated attackers to inject…
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arbitrary SQL commands into the `WHERE` clause of database queries. This is achieved by exploiting a PHP type juggling issue where JSON decoding converts numeric strings into integers, bypassing the `is_int()` security check used by the application. Versions 23.1.20260113 and 26.0.20260113 patch the 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
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.