CVE-2026-34207
Published: 22 May 2026
Summary
CVE-2026-34207 is a high-severity Improper Input Validation (CWE-20) vulnerability. Its CVSS base score is 7.6 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 14.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-31470
Vulnerability details
TypeBot is a chatbot builder tool. In versions prior to 3.16.0, SSRF protection for Webhook / HTTP Request blocks validates only the URL string, blocked hostname literals, and literal IP formats. It does not resolve DNS before allowing the request.…
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As a result, a hostname such as ssrf-repro.example that resolves to 127.0.0.1, 169.254.169.254, or RFC1918/private space passes validation and is later fetched by the backend HTTP client. This enables server-side request forgery to loopback, cloud metadata, and private network targets. This issue has been resolved in version 3.16.0.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
SSRF vuln in public-facing app directly enables exploitation (T1190) to reach cloud metadata API for credential theft (T1522/T1552.005).
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.
Penetration testing attempts server-side requests to internal resources, identifying SSRF weaknesses for remediation.
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.
Outbound connections to external resources can be monitored and limited at the boundary, reducing SSRF impact.
Detects server-side request forgery through monitoring of unexpected outbound connections.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.