Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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:XSummary
CVE-2026-4594 is a medium-severity SQL Injection (CWE-89) vulnerability in Feishu (inferred from references). Its CVSS base score is 6.9 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 17th 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.
CVE-2026-4594 is a SQL injection vulnerability in the Erupt framework, versions up to 1.13.3. The issue affects the geneEruptHqlOrderBy function in the file erupt-data/erupt-jpa/src/main/java/xyz/erupt/jpa/dao/EruptJpaUtils.java, where manipulation of the sort.field argument leads to SQL injection in Hibernate.
The vulnerability can be exploited remotely by unauthenticated attackers with low attack complexity and no user interaction required, as indicated by its CVSS 3.1 base score of 7.3 (AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L). Successful exploitation allows limited impacts on confidentiality, integrity, and availability through SQL injection.
Advisories from VulDB note that the exploit has been publicly disclosed and may be used, with the vendor contacted early but providing no response. No patches or specific mitigations are mentioned in the available references.
The vulnerability is associated with CWE-89 (SQL Injection) and CWE-564 (SQL Injection: Hibernate).
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-14475
Vulnerability Data
A vulnerability has been found in erupts erupt up to 1.13.3. Affected by this issue is the function geneEruptHqlOrderBy of the file erupt-data/erupt-jpa/src/main/java/xyz/erupt/jpa/dao/EruptJpaUtils.java. Such manipulation of the argument sort.field leads to sql injection hibernate. It is possible to launch the…
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attack remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
- 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.
Requiring documented secure-development standards and tools reduces use of unsafe dynamic SQL patterns.
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.
Application security requirements include secure query construction and ORM parameter binding.
Secure architecture principles discourage dynamic SQL but do not directly address Hibernate misuse.