Raw vector
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:L/VA:N/SC:L/SI:L/SA:L/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2026-28451 is a medium-severity SSRF (CWE-918) vulnerability in Openclaw Openclaw. Its CVSS base score is 6.3 (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.
This vulnerability is AI-related — categorised as AI Agent Protocols and Integrations; in the LLM/Generative AI Risks risk domain.
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-2026-28451 is a server-side request forgery (SSRF) vulnerability affecting OpenClaw versions prior to 2026.2.14, specifically in the Feishu extension. The flaw arises in the sendMediaFeishu function and markdown image processing, which lack SSRF protections and allow attackers to fetch arbitrary attacker-controlled remote URLs. Assigned CWE-918, it carries a CVSS v3.1 base score of 8.3 (AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:L) and was published on 2026-03-05.
Remote attackers require no privileges or user interaction to exploit this vulnerability over the network with low complexity. Exploitation occurs via direct manipulation of tool calls or prompt injection, enabling attackers to trigger requests to internal services and re-upload the responses as Feishu media. This can lead to unauthorized access to internal resources, with low impacts on confidentiality, integrity, and availability but elevated severity due to the changed scope.
Mitigation details are outlined in official advisories, including a patch in OpenClaw commit 5b4121d6011a48c71e747e3c18197f180b872c5d. Security practitioners should update to OpenClaw version 2026.2.14 or later, as recommended by the GitHub security advisory (GHSA-x22m-j5qq-j49m) and VulnCheck advisory on the Feishu extension SSRF issue.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-9900
Vulnerability Data
OpenClaw versions prior to 2026.2.14 contain server-side request forgery vulnerabilities in the Feishu extension that allow attackers to fetch attacker-controlled remote URLs without SSRF protections via sendMediaFeishu function and markdown image processing. Attackers can influence tool calls through direct manipulation…
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or prompt injection to trigger requests to internal services and re-upload responses as Feishu media.
- CWE(s)
AI Security AnalysisAI
- AI Category
- AI Agent Protocols and Integrations
- Risk Domain
- LLM/Generative AI Risks
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: prompt injection
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.