Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:NSummary
CVE-2026-35516 is a medium-severity SSRF (CWE-918) vulnerability in Linkace Linkace. Its CVSS base score is 5.0 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 20th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
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-2026-19682
Vulnerability Data
LinkAce is a self-hosted archive to collect website links. Prior to 2.5.4, LinkRepository::update and CheckLinksCommand::checkLink do not check for private IPs. An authenticated user can read responses from internal services (AWS IMDSv1, cloud metadata, internal APIs) by creating a link…
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with a public URL and then updating it to a private IP. The links:check cron job makes the request server-side without IP filtering. This can expose cloud credentials, internal service data, and network topology. This vulnerability is fixed in 2.5.4.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
SSRF (CWE-918) in public-facing LinkAce app enables server-side requests to cloud metadata (IMDS) for credential theft.
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Rejects or sanitizes untrusted URL inputs containing private IPs before LinkRepository::update or CheckLinksCommand::checkLink perform server-side fetches.
Enforces information flow policy that prohibits the application from initiating requests to internal/private address ranges (e.g., IMDS, cloud metadata).
Boundary-protection mechanisms (outbound allow-lists, egress proxies, or RFC1918 filtering) block the cron job's server-side requests to 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.