CVE-2024-39780
Published: 02 April 2025
Summary
CVE-2024-39780 is a high-severity Improper Input Validation (CWE-20) vulnerability in Openrobotics Robot Operating System. Its CVSS base score is 7.8 (High).
Operationally, ranked in the top 21.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-54360
Vulnerability details
A YAML deserialization vulnerability was found in the Robot Operating System (ROS) 'dynparam', a command-line tool for getting, setting, and deleting parameters of a dynamically configurable node, affecting ROS distributions Noetic and earlier. The issue is caused by the use…
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of the yaml.load() function in the 'set' and 'get' verbs, and allows for the creation of arbitrary Python objects. Through this flaw, a local or remote user can craft and execute arbitrary Python code.
- 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 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.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.