Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:NCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2026-26321 is a high-severity Path Traversal (CWE-22) vulnerability in Openclaw Openclaw. 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 40th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Enterprise AI Assistants; in the Privacy and Disclosure risk domain.
The strongest mitigations our analysis identified map to AC-3 (Access 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-2026-26321 is a path traversal vulnerability (CWE-22) in the Feishu extension of OpenClaw, a personal AI assistant, affecting versions prior to 2026.2.14. The `sendMediaFeishu` function improperly treats attacker-controlled `mediaUrl` values as local filesystem paths, allowing direct reading of arbitrary files on the host system.
Attackers can exploit this vulnerability remotely without privileges (AV:N/AC:L/PR:N) if they can influence tool calls, either directly or via prompt injection techniques common in AI assistants. By supplying a sensitive local path such as `/etc/passwd` as the `mediaUrl`, they can exfiltrate file contents, achieving high confidentiality impact as reflected in the CVSS v3.1 score of 7.5 (C:H/I:N/A:N/S:U).
The official mitigation is to upgrade to OpenClaw version 2026.2.14 or newer, which eliminates direct local file reads in this function and redirects media loading through hardened helpers that enforce local-root restrictions. Details are provided in the OpenClaw GitHub security advisory (GHSA-8jpq-5h99-ff5r), the release notes for v2026.2.14, and the fix commit (5b4121d6011a48c71e747e3c18197f180b872c5d).
This issue underscores risks in AI assistant tool extensions, where prompt injection can lead to local file disclosure. No real-world exploitation has been reported as of the CVE publication on 2026-02-19.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-8429
Vulnerability Data
OpenClaw is a personal AI assistant. Prior to OpenClaw version 2026.2.14, the Feishu extension previously allowed `sendMediaFeishu` to treat attacker-controlled `mediaUrl` values as local filesystem paths and read them directly. If an attacker can influence tool calls (directly or via…
more
prompt injection), they may be able to exfiltrate local files by supplying paths such as `/etc/passwd` as `mediaUrl`. Upgrade to OpenClaw `2026.2.14` or newer to receive a fix. The fix removes direct local file reads from this path and routes media loading through hardened helpers that enforce local-root restrictions.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Enterprise AI Assistants
- Risk Domain
- Privacy and Disclosure
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai, prompt injection
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V5.3.2
Mitigating Controls (NIST 800-53 r5) AI
Enforces the intended directory access authorizations that path traversal would otherwise bypass.
Input validation directly neutralizes special path elements before pathname construction occurs.
Least privilege reduces the impact of any unauthorized file access obtained via traversal.
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.
Patching/maintenance can remediate known path-traversal flaws in deployed software (partial prevention of exploitability) but does nothing to stop the coding defect from being introduced in the first place.
PR.AA-05 defines and reviews access policies but does not address code-level pathname neutralization, so neither direction prevents CWE-22.
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.
Security testing in development catches path traversal via static/dynamic analysis.
Secure SDLC mandates input validation and path sanitization that directly prevent path traversal.
Application security requirements include rules for safe file handling and canonicalization.
Secure architecture principles require least-privilege file access and directory isolation.
Secure coding standards explicitly forbid unsafe path construction and mandate safe APIs.
Information access restriction limits which files an application may read or write.