Cyber Posture

CVE-2025-66222

CriticalPublic PoC

Published: 03 December 2025

Published
03 December 2025
Modified
05 December 2025
KEV Added
Patch
CVSS Score 9.6 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
EPSS Score 0.0022 44.4th percentile
Risk Priority 19 60% EPSS · 20% KEV · 20% CVSS

Description

DeepChat is a smart assistant uses artificial intelligence. In 0.5.0 and earlier, there is a Stored Cross-Site Scripting (XSS) vulnerability in the Mermaid diagram renderer allows an attacker to execute arbitrary JavaScript within the application context. By leveraging the exposed…

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Electron IPC bridge, this XSS can be escalated to Remote Code Execution (RCE) by registering and starting a malicious MCP (Model Context Protocol) server.

Mitigating Controls (NIST 800-53 r5)AI

prevent

Validates and sanitizes inputs to the Mermaid diagram renderer to prevent injection of malicious JavaScript payloads leading to stored XSS.

prevent

Filters outputs from the Mermaid renderer to block execution of arbitrary JavaScript in the application context.

prevent

Remediates the sanitization flaw in the Mermaid renderer and exposed Electron IPC bridge through timely patching to version beyond 0.5.0.

Security SummaryAI

CVE-2025-66222 is a Stored Cross-Site Scripting (XSS) vulnerability in DeepChat, an artificial intelligence-powered smart assistant, affecting versions 0.5.0 and earlier. The issue lies in the Mermaid diagram renderer, which fails to properly sanitize inputs, allowing attackers to inject and execute arbitrary JavaScript within the application's context. This flaw, associated with CWE-79 (XSS) and CWE-94 (code injection), carries a CVSS v3.1 base score of 9.6 (AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H), indicating critical severity due to its potential for high-impact compromise.

Attackers can exploit this vulnerability by injecting malicious payloads into stored Mermaid diagrams, such as through chat inputs or shared content in DeepChat. Any remote user without privileges can craft such payloads, but exploitation requires a victim to interact with the affected diagram (user interaction, UI:R). The executed JavaScript then leverages DeepChat's exposed Electron IPC bridge to register and start a malicious Model Context Protocol (MCP) server, escalating the XSS to full remote code execution (RCE) on the victim's machine, granting high confidentiality, integrity, and availability impacts in a changed scope (S:C).

Mitigation details are provided in the DeepChat security advisory at https://github.com/ThinkInAIXYZ/deepchat/security/advisories/GHSA-v8v5-c872-mf8r and the fixing commit at https://github.com/ThinkInAIXYZ/deepchat/commit/371ca7b42e3685aee6e3f0c61e85277ed1ff4db7, which patches the Mermaid renderer sanitization. Security practitioners should advise users to update DeepChat beyond version 0.5.0 and avoid loading untrusted diagrams.

Details

CWE(s)

Affected Products

thinkinai
deepchat
≤ 0.5.0

AI Security AnalysisAI

AI Category
AI Agent Protocols and Integrations
Risk Domain
Protocol-Specific Risks
OWASP Top 10 for LLMs 2025
None mapped
MITRE ATLAS Techniques
None mapped
Classification Reason
DeepChat is explicitly described as a smart assistant that uses artificial intelligence, fitting the Enterprise AI Assistants category. The vulnerability involves its UI renderer and integration with Model Context Protocol (MCP), but the primary affected software is the AI assistant application.

MITRE ATT&CK Enterprise TechniquesAI

T1203 Exploitation for Client Execution Execution
Adversaries may exploit software vulnerabilities in client applications to execute code.
Why these techniques?

The stored XSS in the Mermaid diagram renderer enables arbitrary JavaScript execution within the Electron application context, which escalates to RCE via the exposed IPC bridge by registering a malicious MCP server, directly facilitating Exploitation for Client Execution.

References