Summary
The MentionsParser in src/praisonai-agents/praisonaiagents/tools/mentions.py processes @file: mentions in agent prompts by reading arbitrary files from the filesystem. When a file path is not found relative to the workspace, the parser falls back to using the path as an absolute path without any validation or boundary check. This allows an attacker who can influence agent prompts (via chat messages, Telegram/Discord/Slack bot inputs, or YAML workflow configs) to read any file on the filesystem accessible to the process user.
Details
Vulnerable code (lines 165–178):
def _process_file_mention(self, file_path: str) -> Optional[str]:
"""Process @file:path mention."""
try:
# Resolve path relative to workspace
full_path = self.workspace_path / file_path
if not full_path.exists():
# Try as absolute path
full_path = Path(file_path)
if not full_path.exists():
self._log(f"File not found: {file_path}", logging.WARNING)
return f"# File: {file_path}\n[File not found]"
content = full_path.read_text(encoding="utf-8")
The vulnerability is in the fallback at line 171–172: When the file is not found relative to workspace_path, the code constructs full_path = Path(file_path), which accepts any absolute or relative path without validation. There is no:
.. path traversal check
- Workspace boundary validation
- Symlink resolution against workspace
- Protected path guard
The file_path parameter originates from parsing @file: mentions in user/LLM prompts. The MentionsParser is used across the framework to process mentions in agent instructions and user messages.
Contrast with skill_tools.py read_skill_file (lines 140–193), which properly validates:
# skill_tools.py line 179 — proper validation
if os.path.commonpath([full_path, skill_path]) != skill_path:
return f"Error: Path traversal detected - {file_path} is outside skill directory"