Raw vector
CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:NSummary
CVE-2026-13316 is a medium-severity SSRF (CWE-918) vulnerability in Redhat Satellite. Its CVSS base score is 4.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 1th 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) and AC-4 (Information Flow Enforcement) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-40281
Vulnerability Data
A flaw has been found in foreman when HTTP parameters are modified in http_proxies_controller and http_proxy files. Attackers can perform an SSRF attack and steal cloud metadata service on AWS/GCP/Azure environment through foreman component.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
SSRF (CWE-918) in public-facing Foreman web app directly enables exploitation of the app (T1190) to access and steal cloud instance metadata credentials (T1552.005).
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Validates HTTP parameters in http_proxies_controller to block crafted URLs that enable SSRF to cloud metadata endpoints.
Enforces information flow rules so the foreman proxy component cannot initiate arbitrary outbound requests to internal metadata services.
Boundary protection rules can deny the application server outbound access to AWS/GCP/Azure metadata IP addresses, limiting SSRF impact.
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.