Raw vector
CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:N/I:L/A:LSummary
CVE-2025-47936 is a low-severity SSRF (CWE-918) vulnerability in Typo3 Typo3. Its CVSS base score is 3.3 (Low).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 16th 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 AC-4 (Information Flow Enforcement) and 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-2025-15820
Vulnerability Data
TYPO3 is an open source, PHP based web content management system. In versions on the 12.x branch prior to 12.4.31 LTS and the 13.x branch prior to 13.4.2 LTS, Webhooks are inherently vulnerable to Cross-Site Request Forgery (CSRF), which can…
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be exploited by adversaries to target internal resources (e.g., localhost or other services on the local network). While this is not a vulnerability in TYPO3 itself, it may enable attackers to blindly access systems that would otherwise be inaccessible. An administrator-level backend user account is required to exploit this vulnerability. Users should update to TYPO3 version 12.4.31 LTS or 13.4.12 LTS to fix the problem.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.6V1.5.3V5.3.2V10.4.7
Mitigating Controls (NIST 800-53 r5) AI
Information flow enforcement can restrict which destinations the server is allowed to contact on behalf of users.
Input validation directly stops untrusted URLs from being accepted and fetched without destination checks.
Boundary protection limits the network reach of server-initiated requests even if SSRF occurs.
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 development practices directly include input validation and destination allow-listing that prevent SSRF.
Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.
Vulnerability identification processes can discover and record SSRF flaws in web applications.
Network segmentation and egress controls can limit the damage from successful SSRF requests.
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.
Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.