CVE intelligence and bounded remediation
CVE-2025-59417 — Lobe Chat is an open-source artificial intelligence chat framework
Lobe Chat is an open-source artificial intelligence chat framework. Prior to version 1.129.4, there is a a cross-site scripting (XSS) vulnerability when handling chat message in lobe-chat that can be escalated to remote code execution on the user’s machine. In lobe-chat, when the response from the server is like <lobeArtifact identifier="ai-new-interpretation" ...> , it will be rendered with the lobeArtifact node, instead of the plain text. However, when the type of the lobeArtifact is image/svg+xml , it will be rendered as the SVGRender component, which internally uses dangerouslySetInnerHTML to set the content of the svg, resulting in XSS attack. Any party capable of injecting content into chat messages, such as hosting a malicious page for prompt injection, operating a compromised MCP server, or leveraging tool integrations, can exploit this vulnerability. This vulnerability is fixed in 1.129.4.
- Severity
- Medium
- CVSS
- 6.8 (4.0)
- Published
- 2025-09-18
- CISA KEV
- Not currently listed
- Ecosystem
- software/application
- Weaknesses
- CWE-79
Affected products
- lobehub / lobe_chat
Matched remediation archetype
Cross-site scripting and unsafe browser output
This catalog composition supplies bounded fallback guidance. Explicitly reviewed curated workflows load with the complete record below.
Check exposure
- Trace reflected, stored, and DOM-derived untrusted values into HTML, attributes, URLs, styles, scripts, and client-side template sinks.
- Identify affected origins, authenticated user roles, sensitive browser capabilities, and where content is shared across tenants.
- Review framework escaping, rich-text sanitization, legacy templates, and client-side rendering paths.
Remediate safely
- Use context-aware framework output encoding and safe DOM APIs; keep untrusted data out of executable contexts.
- Sanitize intentionally supported markup with a maintained allowlist policy and validate URLs and attributes separately.
- Update affected rendering components and add tests for every output context using inert sentinel markup.
Authoritative sources
Complete CVE record and remediation plan
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