Cyber Resilience

CVE-2023-20103

Medium

Published: 05 April 2023

Published
05 April 2023
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 4.9 CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:H/A:N
EPSS Score 0.0048 65.6th percentile
Risk Priority 10 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2023-20103 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Cisco Secure Network Analytics. Its CVSS base score is 4.9 (Medium).

Operationally, ranked in the top 34.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

A vulnerability in Cisco Secure Network Analytics could allow an authenticated, remote attacker to execute arbitrary code as a root user on an affected device. This vulnerability is due to insufficient validation of user input to the web interface. An…

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attacker could exploit this vulnerability by uploading a crafted file to an affected device. A successful exploit could allow the attacker to execute code on the affected device. To exploit this vulnerability, an attacker would need to have valid Administrator credentials on the affected device.

CWE(s)

Related Threats

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

Affected Assets

cisco
secure network analytics
≤ 7.4.2

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