CVE-2025-20197
Published: 07 May 2025
Summary
CVE-2025-20197 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Cisco Ios Xe. Its CVSS base score is 6.7 (Medium).
Operationally, ranked at the 24.1th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-13893
Vulnerability details
A vulnerability in the CLI of Cisco IOS XE Software could allow an authenticated, local attacker with privilege level 15 to elevate privileges to root on the underlying operating system of an affected device. This vulnerability is due to insufficient…
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input validation when processing specific configuration commands. An attacker could exploit this vulnerability by including crafted input in specific configuration commands. A successful exploit could allow the attacker to elevate privileges to root on the underlying operating system of an affected device. The security impact rating (SIR) of this advisory has been raised to High because an attacker could gain access to the underlying operating system of the affected device and perform potentially undetected actions. Note: The attacker must have privileges to enter configuration mode on the affected device. This is usually referred to as privilege level 15.
- 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.