T05 · Unauthorized Access and Privilege Escalation
Error
- Location
- identity_manager.py:35
- Finding
- Undisclosed Transmission of Sensitive Workspace Files to Gemini<![CDATA[ ## Vulnerability Details **File Location**: `identity_manager.py`, lines 35-43, 68-86, 88-95, 111-175, and 411-418 **Vulnerability Type**: Excessive collection and external disclosure of sensitive workspace information **Risk Level**: High ### Vulnerable Code Source files collected by the Skill: ```python SOURCE_FILES = { "soul": WORKSPACE / "SOUL.md", "memory": WORKSPACE / "MEMORY.md", "user": WORKSPACE / "USER.md", "identity_md": WORKSPACE / "IDENTITY.md", "tools": WORKSPACE / "TOOLS.md", "heartbeat": WORKSPACE / "HEARTBEAT.md", } ``` Network transmission to the Gemini API: ```python def call_gemini(prompt, api_key, max_tokens=8000): """Call Gemini API and return text response.""" url = f"{GEMINI_URL}?key={api_key}" payload = { "contents": [{"parts": [{"text": prompt}]}], "generationConfig": { "maxOutputTokens": max_tokens, "temperature": 0.2, # Low temp for consistent extraction }, } req = urllib.request.Request( url, data=json.dumps(payload).encode(), headers={"Content-Type": "application/json"}, method="POST", ) try: with urllib.request.urlopen(req, timeout=60) as resp: data = json.loads(resp.read()) return data["candidates"][0]["content"]["parts"][0]["text"] ``` Unfiltered file reading: ```python def read_sources(): """Read all source markdown files.""" sources = {} for name, path in SOURCE_FILES.items(): if path.exists(): text = path.read_text(encoding="utf-8", errors="replace") # Cap each file at 15KB to stay within context sources[name] = text[:15000] return sources ``` Raw source aggregation and submission: ```python def synthesize_identity(sources, api_key): """Use Gemini to extract structured identity from markdown sources.""" combined = "\n\n".join( f"=== {name.upper()} ===\n{text}" for name, text ...[truncated 5625 chars]
- Remediation
- <![CDATA[ ## Remediation Suggestions 1. **Reduce the default source scope** - Restrict default processing to the files explicitly documented as requirements, such as `MEMORY.md` and `SOUL.md`. - Require explicit command-line options for additional sources, for example: ```bash python3 identity_manager.py --source MEMORY.md --source SOUL.md ``` 2. **Require informed approval** - Before the first external request, display the exact files selected, the number of bytes to be sent, and the destination service. - Require affirmative confirmation unless a specific noninteractive consent flag has been supplied. 3. **Add sensitivity filtering** - Detect and redact API keys, access tokens, passwords, private keys, authentication headers, email addresses, and other sensitive patterns before constructing the prompt. - Apply structured allowlisting instead of relying solely on pattern-based redaction. 4. **Minimize transmitted content** - Parse source files locally and transmit only fields required for identity extraction. - Exclude tool configuration, heartbeat data, and unrelated operational instructions. - Avoid sending entire raw documents when selected excerpts or locally generated summaries are sufficient. 5. **Provide a transmission preview** - Add a `--dry-run` or `--preview-prompt` mode that shows what categories and files would be submitted. - The preview should redact detected secrets while still enabling the user to verify scope. 6. **Make external processing configurable** - Support a local-only extraction mode where feasible. - Allow users to configure the model provider and data-handling policy explicitly rather than silently relying on the default endpoint. 7. **Update documentation** - Clearly identify every file read by each execution mode. - State that selected source content is sent to Google's Gemini API. - Describe retention and privacy implications and advise users not to store credentia ...[truncated 300 chars]