ClawAudit verdict
dingtalk-ai-table-insights
Analyzes DingTalk AI tables using a DINGTALK_MCP_TOKEN env var and optionally calls an LLM via OpenClaw for deeper analysis; the execution sink is a local Python analysis script and all operations are consistent with the stated cross-table business intelligence purpose.
⚠ Flagged for review — coarse, uncorroborated signal, not a confirmed exploit. Review the config yourself before installing.
Automated static analysis — not a human review. ClawAudit flags capabilities, not confirmed intent, and can produce false positives. Disagree with this verdict? Use Dispute below.
Findings (9)
Possible hardcoded credential
references/dependencies.md · code · TOKEN="your-token-here
References sudo — requests elevated privileges
references/dependencies.md · code · sudo
apt-get install — installs system packages
references/dependencies.md · code · apt-get install
Accesses shell history/config
references/dependencies.md · code · ~/.zshrc
Pipe to python — executes piped content as Python code
references/dependencies.md · prose · downgraded · | Python
subprocess execution — runs system commands from Python
references/llm_integration.md · code · subprocess.run(
subprocess with shell=True — command injection vector
scripts/analyze_tables.py · prose · downgraded · subprocess.run(cmd_redirect, shell=True
Python os.environ.get — reads environment variable
scripts/analyze_tables.py · prose · downgraded · os.environ.get(
Python os.getenv — reads environment variable
scripts/analyze_tables.py · prose · downgraded · os.getenv(
Why the tier is capped
Execution sink present in raw bytes (Hard Floor: class D/F). Final tier capped at Caution — cannot be lifted by any downgrade, example-payload opt-in, or allowlist.
Permissions & capabilities
Requires 1 environment variable. (1 sensitive: DINGTALK_MCP_TOKEN). Requires 1 system binary.
network_in Is this flag fair?
Thanks — recorded.