Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2023-49109 is a critical-severity Code Injection (CWE-94) vulnerability in Apache Dolphinscheduler. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked in the top 18% of CVEs by exploit likelihood; 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-2023-49109 is a remote code execution vulnerability affecting Apache DolphinScheduler versions prior to 3.2.1. The flaw stems from improper control of code generation, tracked as CWE-94, and carries a CVSS 3.1 base score of 9.8 reflecting network-accessible attack vectors that require no authentication or user interaction.
An unauthenticated attacker can send specially crafted input over the network to execute arbitrary code on the server, resulting in full compromise of confidentiality, integrity, and availability of the affected scheduler instance and any connected workflows or data.
Official Apache advisories and the associated security announcement direct users to upgrade immediately to version 3.2.1, which contains the fix; the resolution is referenced in the project’s GitHub pull request 14991 and multiple Apache mailing-list threads.
The EPSS score for this CVE has remained flat at 0.0712 with no material increase since publication, providing no indication of rising exploitation interest.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-0705
Vulnerability Data
Exposure of Remote Code Execution in Apache Dolphinscheduler. This issue affects Apache DolphinScheduler: before 3.2.1. We recommend users to upgrade Apache DolphinScheduler to version 3.2.1, which fixes the issue.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.1
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation finds code paths that accept and execute externally influenced strings.
Input validation directly stops untrusted data from being used to construct executable code without neutralization.
Least privilege limits the damage an injected code fragment can perform once executed.
Requiring documented secure development standards and tools enforces use of safe code-generation APIs and escaping.
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.
PR.PS-06's SDLC practices directly target injection flaws via secure coding and testing (mostly), yet as a single broad outcome it leaves many code-generation specifics unaddressed (partial).
PR.DS-10 protects runtime data confidentiality/integrity but has no bearing on neutralizing externally influenced input during code generation, so neither direction shows any preventive effect.
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.
Banning unapproved code samples and unauthenticated web services, combined with secure-coding standards and SAST, prevents the dynamic generation or inclusion of attacker-supplied code.
Controls that restrict unauthorized or malicious code from being introduced via external networks or removable media limit opportunities for an attacker to inject and execute arbitrary code.