CVE-2024-29737
Command Injection in Apache Streampark 2.0.0 – 2.1.4
Raw vector
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:L/A:LSummary
CVE-2024-29737 is a medium-severity Command Injection (CWE-77) vulnerability in Apache Streampark. Its CVSS base score is 4.7 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked in the top 37% 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.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-26732
Vulnerability Data
In streampark, the project module integrates Maven's compilation capabilities. The input parameter validation is not strict, allowing attackers to insert commands for remote command execution, The prerequisite for a successful attack is that the user needs to log in to…
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the streampark system and have system-level permissions. Generally, only users of that system have the authorization to log in, and users would not manually input a dangerous operation command. Therefore, the risk level of this vulnerability is very low. Mitigation: all users should upgrade to 2.1.4 Background info: Log in to Streampark using the default username (e.g. test1, test2, test3) and the default password (streampark). Navigate to the Project module, then add a new project. Enter the git repository address of the project and input `touch /tmp/success_2.1.2` as the "Build Argument". Note that there is no verification and interception of the special character "`". As a result, you will find that this injection command will be successfully executed after executing the build. In the latest version, the special symbol ` is intercepted.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.2.3V1.2.5V1.2.8V1.2.9
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover command-construction flaws before deployment.
Input validation directly stops construction of commands from untrusted data containing special elements.
Secure engineering principles include proper neutralization and safe command construction practices.
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 require input validation and neutralization that prevent command injection.
Runtime monitoring of software and data can detect anomalous command execution resulting from injection.
Identifying recorded vulnerabilities enables remediation of command-injection flaws before exploitation.
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.
Secure coding standards require proper escaping and parameterization of commands, directly eliminating CWE-77.
Security testing in development catches command-injection vulnerabilities before release.
Secure development life cycle mandates input validation and command construction practices that directly prevent command injection.
Application security requirements explicitly call for controls against injection flaws including command injection.
Secure architecture principles reduce the attack surface but do not prescribe the specific neutralization techniques needed.
Environment separation limits the blast radius of an exploited command injection but does not prevent the flaw itself.