Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:NSummary
CVE-2025-70027 is a high-severity SSRF (CWE-918) vulnerability in Sunbird Sunbirded-Portal. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 19th 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.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2025-70027 is a Server-Side Request Forgery (SSRF) vulnerability, corresponding to CWE-918, discovered in Sunbird-Ed SunbirdEd-portal version 1.13.4. Published on 2026-03-11T15:16:21.507, it carries a CVSS v3.1 base score of 7.5 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N), indicating high confidentiality impact with no effects on integrity or availability.
Remote, unauthenticated attackers can exploit this vulnerability over the network with low attack complexity and no user interaction required. Exploitation allows attackers to obtain sensitive information hosted on internal systems or otherwise inaccessible resources via forged requests from the vulnerable server.
Mitigation details and further technical information are available in the referenced advisories, including https://gist.github.com/zcxlighthouse/6eac455e9094ae313a1c39c25d520b3d, https://github.com/Sunbird-Ed, and https://github.com/Sunbird-Ed/SunbirdEd-portal.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-208563
Vulnerability Data
An issue pertaining to CWE-918: Server-Side Request Forgery was discovered in Sunbird-Ed SunbirdEd-portal v1.13.4. This allows attackers to obtain sensitive information
- 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.