T05 · Unauthorized Access and Privilege Escalation
- Location
scripts/clawlens.py:828- Finding
External Transmission of Sensitive Conversation Records Without Local Redaction
- Content
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list[dict]: """Read a JSONL file, skip malformed lines.""" entries: list[dict] = [] try: with open(filepath, "r", encoding="utf-8") as f: for line_num, line in enumerate(f, 1): line = line.strip() if not line: continue try: entries.append(json.loads(line)) except json.JSONDecodeError: log(f" Skipping malformed line {line_num} in {filepath.name}") ``` ```python def collect_sessions(agent_id: str, days: int, max_sessions: int) -> list[SessionMeta]: """Stage 1: Scan session files and extract metadata.""" base_dir = Path.home() / ".openclaw" / "agents" / agent_id / "sessions" ``` ```python async def llm_call(prompt: str, model: str, max_tokens: int = 4096, retries: int = 3) -> str: """Make an LLM call via litellm with retry.""" kwargs: dict[str, Any] = dict( model=model, messages=[{"role": "user", "content": prompt}], max_tokens=max_tokens, temperature=0.3, ) if _model_api_base: kwargs["api_base"] = _model_api_base if _model_api_key: kwargs["api_key"] = _model_api_key for attempt in range(retries + 1): try: response = await litellm.acompletion(**kwargs) ``` ```python prompt = FACET_EXTRACTION_PROMPT.replace("{transcript}", transcript) try: raw = await llm_call(prompt, model, max_tokens=2048) ``` ### Technical Analysis The skill reads OpenClaw session JSONL files and constructs transcript text containing user messages, assistant messages, tool calls, and excerpts fro ...[truncated 1923 chars]- Remediation
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