T05 · Unauthorized Access and Privilege Escalation
Note
- Location
- scripts/context-doctor.py:59
- Finding
- Unnecessary Full Reads of Sensitive Agent State Files<![CDATA[ ## Vulnerability Details **File Location**: `scripts/context-doctor.py:59-63`, `scripts/context-doctor.py:81-86`, and `scripts/context-doctor.py:211-220` **Vulnerability Type**: Excessive access to agent memory and profile data **Risk Level**: Low ### Vulnerable Code ```python BOOTSTRAP_FILES = [ "AGENTS.md", "SOUL.md", "TOOLS.md", "IDENTITY.md", "USER.md", "HEARTBEAT.md", "BOOTSTRAP.md", "MEMORY.md", ] EXPECTED_MISSING = {"BOOTSTRAP.md"} ``` ```python def count_chars(path: str) -> int: try: with open(path, "r", encoding="utf-8", errors="replace") as f: return len(f.read()) except (OSError, IOError): return 0 ``` ```python def scan_workspace(workspace: str) -> list: """Scan workspace bootstrap files. Returns list of (name, status, chars, tok).""" files = [] for name in BOOTSTRAP_FILES: path = os.path.join(workspace, name) is_link = os.path.islink(path) exists = os.path.exists(path) if exists: chars = count_chars(path) tok = estimate_tokens(chars) ``` ### Technical Analysis The script needs file-length information to estimate token usage, but it reads every configured bootstrap file completely into a Python string. The affected set includes potentially sensitive state and profile files such as `MEMORY.md`, `USER.md`, `IDENTITY.md`, and `SOUL.md`. The current implementation does not print, persist, or transmit the contents. Consequently, there is no direct data-exfiltration path in the audited version. Nevertheless, full-content reads increase exposure beyond what is necessary for a size-oriented diagnostic operation. Sensitive contents temporarily reside in process memory and may become accessible to debuggers, tracing or instrumentation systems, crash diagnostics, malicious imported dependencies, or future modifications to the script. Although the operating system does not grant the script new privileges, the behavior weakens least ...[truncated 1431 chars]
- Remediation
- <![CDATA[ ## Remediation Suggestions 1. Avoid loading entire sensitive files into one Python string. 2. If approximate size is sufficient, use filesystem metadata: ```python def count_bytes(path: str) -> int: try: return os.stat(path).st_size except OSError: return 0 ``` 3. If exact Unicode character counts are required, process files incrementally: ```python def count_chars(path: str) -> int: total = 0 try: with open(path, "r", encoding="utf-8", errors="replace") as file: while chunk := file.read(8192): total += len(chunk) return total except OSError: return 0 ``` 4. Clear references to temporary content promptly and ensure that no logging, tracing, or exception handler records file contents. 5. Document explicitly that the diagnostic accesses workspace memory and identity files. 6. Consider offering a metadata-only mode that avoids opening sensitive files and reports byte-based token estimates instead. ]]>