Summary
AstronRPA's desktop smart-component chat may render unsanitized large language model output as HTML, allowing attacker-controlled content to trigger client-side scripting. In deployments where a web page can influence model output, this may reach an unrestricted IPC path and execute operating-system commands with the desktop user's privileges.
AstronRPA's desktop smart-component chat may render unsanitized large language model output as HTML, allowing attacker-controlled content to trigger client-side scripting. In deployments where a web page can influence model output, this may reach an unrestricted IPC path and execute operating-system commands with the desktop user's privileges.
Affected context
The issue occurs in the AstronRPA desktop client's smart-component chat when model-generated content is inserted into the interface through an HTML-rendering mechanism such as v-html without adequate sanitization. Risk increases when untrusted web content can influence prompts or model responses and the desktop client exposes powerful IPC handlers without effective authorization or argument restrictions.
The issue occurs in the AstronRPA desktop client's smart-component chat when model-generated content is inserted into the interface through an HTML-rendering mechanism such as v-html without adequate sanitization. Risk increases when untrusted web content can influence prompts or model responses and the desktop client exposes powerful IPC handlers without effective authorization or argument restrictions.
Exploit preconditions
- Attack surface: The desktop client's smart-component chat and its HTML rendering path
- Required access: Ability to influence content reaching the application's LLM prompt or response
- Trigger point: Rendering model output and handling resulting client-side events
- Required capability: Access to a web page or other content source that can introduce prompt-injection material
- Why exploitation is possible: Unsanitized HTML may enable script execution, while an unrestricted IPC handler can expose privileged operating-system functionality to the desktop user context
- Attack surface: The desktop client's smart-component chat and its HTML rendering path
- Required access: Ability to influence content reaching the application's LLM prompt or response
- Trigger point: Rendering model output and handling resulting client-side events
- Required capability: Access to a web page or other content source that can introduce prompt-injection material
- Why exploitation is possible: Unsanitized HTML may enable script execution, while an unrestricted IPC handler can expose privileged operating-system functionality to the desktop user context
Why this happens
The underlying bug is an output-encoding failure associated with CWE-79, Cross-Site Scripting. LLM-generated text is treated as trusted markup and rendered as active HTML rather than being encoded or sanitized according to a strict allowlist. The risk is amplified by exposing privileged desktop functionality to the renderer without strong capability checks, origin validation, or constrained argument handling. This creates a path from script execution in the chat interface to operating-system command execution.
The underlying bug is an output-encoding failure associated with CWE-79, Cross-Site Scripting. LLM-generated text is treated as trusted markup and rendered as active HTML rather than being encoded or sanitized according to a strict allowlist. The risk is amplified by exposing privileged desktop functionality to the renderer without strong capability checks, origin validation, or constrained argument handling. This creates a path from script execution in the chat interface to operating-system command execution.
Potential impact
- An attacker may execute operating-system commands as the desktop user.
- The attacker could access or modify user-accessible files and application data.
- Session information, tokens, or other sensitive data may be exposed.
- The desktop client could be used to alter local settings or stage further compromise.
- Organizational systems may be affected if the desktop account has network or administrative access.
- An attacker may execute operating-system commands as the desktop user.
- The attacker could access or modify user-accessible files and application data.
- Session information, tokens, or other sensitive data may be exposed.
- The desktop client could be used to alter local settings or stage further compromise.
- Organizational systems may be affected if the desktop account has network or administrative access.
General mitigation guidance
Mitigation generally focuses on treating all model output and web-derived
content as untrusted, while minimizing renderer privileges.
Common defensive patterns include:
- Rendering model output as text by default rather than interpreting it as HTML.
- Applying context-aware output encoding and a strict, allowlisted HTML sanitizer when limited markup is required.
- Separating model-generated content from executable UI behavior and preventing event-handler attributes or active URL schemes.
- Exposing only narrowly scoped IPC capabilities through explicit, authenticated, and origin-validated interfaces.
- Validating and constraining IPC arguments without passing user-controlled strings to shell interpreters.
- Applying least privilege to the desktop process and limiting filesystem, process, and network access.
- Treating prompt-injection defenses as an additional control rather than a substitute for output sanitization and IPC isolation.
Mitigation generally focuses on treating all model output and web-derived
content as untrusted, while minimizing renderer privileges.
Common defensive patterns include:
- Rendering model output as text by default rather than interpreting it as HTML.
- Applying context-aware output encoding and a strict, allowlisted HTML sanitizer when limited markup is required.
- Separating model-generated content from executable UI behavior and preventing event-handler attributes or active URL schemes.
- Exposing only narrowly scoped IPC capabilities through explicit, authenticated, and origin-validated interfaces.
- Validating and constraining IPC arguments without passing user-controlled strings to shell interpreters.
- Applying least privilege to the desktop process and limiting filesystem, process, and network access.
- Treating prompt-injection defenses as an additional control rather than a substitute for output sanitization and IPC isolation.
How teams detect issues like this
High-level detection can include:
- Static analysis for v-html, innerHTML, template compilation, or equivalent unsafe rendering of model or web-derived data.
- Code review checks for renderer-to-main IPC channels that expose filesystem, process, or shell functionality.
- Searches for shell invocation APIs receiving renderer-controlled or model-derived values.
- Tests that verify active HTML, event handlers, dangerous URL schemes, and unexpected markup are encoded or rejected.
- Runtime monitoring for unusual child-process creation or command execution by the desktop client.
- Policy enforcement requiring security review for new IPC handlers and forbidding unrestricted renderer capabilities.
Automated code review and application security tools may help identify unsafe sinks and overly broad IPC interfaces.
High-level detection can include:
- Static analysis for v-html, innerHTML, template compilation, or equivalent unsafe rendering of model or web-derived data.
- Code review checks for renderer-to-main IPC channels that expose filesystem, process, or shell functionality.
- Searches for shell invocation APIs receiving renderer-controlled or model-derived values.
- Tests that verify active HTML, event handlers, dangerous URL schemes, and unexpected markup are encoded or rejected.
- Runtime monitoring for unusual child-process creation or command execution by the desktop client.
- Policy enforcement requiring security review for new IPC handlers and forbidding unrestricted renderer capabilities.
Automated code review and application security tools may help identify unsafe sinks and overly broad IPC interfaces.
