CVE-2024-41117
Published: 26 July 2024
Summary
CVE-2024-41117 is a critical-severity Improper Input Validation (CWE-20) vulnerability in Opengeos Streamlit-Geospatial. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 14.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-38936
Vulnerability details
streamlit-geospatial is a streamlit multipage app for geospatial applications. Prior to commit c4f81d9616d40c60584e36abb15300853a66e489, the `vis_params` variable on line 115 in `pages/10_🌍_Earth_Engine_Datasets.py` takes user input, which is later used in the `eval()` function on line 126, leading to remote code execution.…
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Commit c4f81d9616d40c60584e36abb15300853a66e489 fixes this 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.