Cyber Resilience

CVE-2024-22165

Medium

Published: 09 January 2024

Published
09 January 2024
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
EPSS Score 0.0022 44.8th percentile
Risk Priority 13 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-22165 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Splunk Enterprise Security. Its CVSS base score is 6.5 (Medium).

Operationally, ranked at the 44.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

In Splunk Enterprise Security (ES) versions lower than 7.1.2, an attacker can create a malformed Investigation to perform a denial of service (DoS). The malformed investigation prevents the generation and rendering of the Investigations manager until it is deleted.<br>The vulnerability…

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requires an authenticated session and access to create an Investigation. It only affects the availability of the Investigations manager, but without the manager, the Investigations functionality becomes unusable for most users.

CWE(s)

Related Threats

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

Affected Assets

splunk
enterprise security
7.1.0 — 7.1.2

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