Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:HSummary
CVE-2026-34612 is a critical-severity SQL Injection (CWE-89) vulnerability in Kestra Kestra. Its CVSS base score is 9.9 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 48th 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-2026-34612 is a SQL injection vulnerability in Kestra, an open-source event-driven orchestration platform, affecting versions prior to 1.3.7 in the default Docker Compose deployment. The flaw resides in the GET /api/v1/main/flows/search endpoint, where unsanitized input allows attackers to inject malicious SQL payloads. This injection leverages PostgreSQL's COPY ... TO PROGRAM ... command, enabling remote code execution (RCE) by executing arbitrary OS commands on the host system. The vulnerability carries a CVSS v3.1 base score of 9.9 (AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H) and is classified under CWE-89.
An authenticated user with low privileges can exploit this vulnerability simply by visiting a crafted URL targeting the search endpoint, requiring no additional interaction. Successful exploitation grants attackers full RCE on the underlying host, potentially allowing complete compromise of the orchestration platform and any connected systems or data workflows.
Kestra addressed this issue in version 1.3.7, as detailed in the project's security advisory (GHSA-365w-2m69-mp9x), release notes, and the patching commit. Security practitioners should upgrade to 1.3.7 or later and review deployments for exposure of the affected endpoint.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-18903
Vulnerability Data
Kestra is an open-source, event-driven orchestration platform. Prior to version 1.3.7, Kestra (default docker-compose deployment) contains a SQL Injection vulnerability that leads to Remote Code Execution (RCE) in the following endpoint "GET /api/v1/main/flows/search". Once a user is authenticated, simply visiting…
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a crafted link is enough to trigger the vulnerability. The injected payload is executed by PostgreSQL using COPY ... TO PROGRAM ..., which in turn runs arbitrary OS commands on the host. This issue has been patched in version 1.3.7.
- 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.