CVE-2025-22870
Raw vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:LSummary
CVE-2025-22870 is a medium-severity Misinterpretation of Input (CWE-115) vulnerability in Go (inferred from references). Its CVSS base score is 4.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Masquerading (T1036); ranked at the 33th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-6690
Vulnerability Data
Matching of hosts against proxy patterns can improperly treat an IPv6 zone ID as a hostname component. For example, when the NO_PROXY environment variable is set to "*.example.com", a request to "[::1%25.example.com]:80` will incorrectly match and not be proxied.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Input validation directly stops the system from accepting and acting on misinterpreted data values.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly require correct input parsing/validation to avoid misinterpretation flaws.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing can detect input misinterpretation flaws but does not itself implement the preventive controls.
Secure development lifecycle mandates input validation and canonicalization that directly prevent misinterpretation of inputs.
Application security requirements explicitly call for robust input handling and sanitization to avoid misinterpretation.
Secure architecture principles include defensive input processing and error handling that reduce misinterpretation risks.
Secure coding standards require strict input validation and canonical forms to eliminate misinterpretation vulnerabilities.