CVE-2024-30188
Published: 12 August 2024
Summary
CVE-2024-30188 is a high-severity Improper Input Validation (CWE-20) vulnerability in Apache Dolphinscheduler. Its CVSS base score is 8.1 (High).
Operationally, ranked in the top 0.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
Apache DolphinScheduler versions 3.1.0 through 3.2.1 contain a file read and write vulnerability tracked as CVE-2024-30188. The flaw stems from improper input validation (CWE-20) that permits authenticated users to access resource files beyond their intended scope, carrying a CVSS 3.1 score of 8.1 with network attack vector, low complexity, and low privileges required.
An authenticated attacker can exploit the issue over the network to read or write arbitrary resource files, resulting in high impact to confidentiality and integrity without affecting availability. The vulnerability does not require user interaction and affects the application in its default configuration for the listed versions.
Official Apache notices recommend immediate upgrade to version 3.2.2, which contains the fix; the same guidance appears in the coordinated oss-security disclosure. The EPSS score has remained flat at its current peak of 0.8851 with no material post-disclosure rise observed.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-2496
Vulnerability details
File read and write vulnerability in Apache DolphinScheduler , authenticated users can illegally access additional resource files. This issue affects Apache DolphinScheduler: from 3.1.0 before 3.2.2. Users are recommended to upgrade to version 3.2.2, which fixes the issue.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Directly implements checks on information inputs to reject invalid data before processing.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.