Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:NSummary
CVE-2026-24117 is a medium-severity SSRF (CWE-918) vulnerability in Linuxfoundation Rekor. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 26th 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 CM-7 (Least Functionality) 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-2026-3808
Vulnerability Data
Rekor is a software supply chain transparency log. In versions 1.4.3 and below, attackers can trigger SSRF to arbitrary internal services because /api/v1/index/retrieve supports retrieving a public key via user-provided URL. Since the SSRF only can trigger GET requests, the…
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request cannot mutate state. The response from the GET request is not returned to the caller so data exfiltration is not possible. A malicious actor could attempt to probe an internal network through Blind SSRF. The issue has been fixed in version 1.5.0. To workaround this issue, disable the search endpoint with --enable_retrieve_api=false.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Direct SSRF in public Rekor API endpoint enables exploitation of a public-facing application (CWE-918).
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Validates the user-supplied URL parameter in /api/v1/index/retrieve to reject non-whitelisted or internal targets before an SSRF request is issued.
Disables the vulnerable retrieve endpoint (--enable_retrieve_api=false) so the SSRF vector is removed entirely by reducing functionality to only what is required.
Enforces outbound allow-lists or segmentation at the network boundary so even a successful blind SSRF cannot reach arbitrary internal services.
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.