CVE-2023-20231
Published: 27 September 2023
Summary
CVE-2023-20231 is a high-severity OS Command Injection (CWE-78) vulnerability in Cisco Ios Xe. Its CVSS base score is 8.8 (High).
Operationally, ranked in the top 29.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-24410
Vulnerability details
A vulnerability in the web UI of Cisco IOS XE Software could allow an authenticated, remote attacker to perform an injection attack against an affected device. This vulnerability is due to insufficient input validation. An attacker could exploit this vulnerability…
more
by sending crafted input to the web UI. A successful exploit could allow the attacker to execute arbitrary Cisco IOS XE Software CLI commands with level 15 privileges. Note: This vulnerability is exploitable only if the attacker obtains the credentials for a Lobby Ambassador account. This account is not configured by default.
- 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.
Directly implements checks on information inputs to reject invalid data before processing.
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.
Platform-independent apps typically execute inside a managed runtime or sandbox that restricts direct OS command execution, reducing the ability to exploit OS command injection.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.