Cyber Resilience

CVE-2022-24861

CriticalPublic PoC

Published: 20 April 2022

Published
20 April 2022
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 9.9 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
EPSS Score 0.0306 87.0th percentile
Risk Priority 22 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2022-24861 is a critical-severity Improper Input Validation (CWE-20) vulnerability in Databasir Databasir. Its CVSS base score is 9.9 (Critical).

Operationally, ranked in the top 13.0% 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

Vulnerability details

Databasir is a team-oriented relational database model document management platform. Databasir 1.01 has remote code execution vulnerability. JDBC drivers are not validated prior to use and may be provided by users of the system. This can lead to code execution…

more

by any basic user who has access to the system. Users are advised to upgrade. There are no known workarounds to this issue.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

databasir
databasir
1.0.1

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.

addresses: CWE-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-20

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

References