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network-scanner Security Audit Report

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network-scanner is an AI agent skill, created by florianbeer and published at openclaw/skills. ClawSecure audited network-scanner across 3 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 75/100 (Medium Risk). The 4 findings concentrate in Policy Violation, Command Injection and Data Exfiltration, including Pattern detected: subprocess.run(cmd, shell=True and Pattern detected: open(config_path). 2 were rated high or critical severity.

Is network-scanner safe?

ClawSecure audited network-scanner and assigned a security score of 75/100 (Medium Risk), identifying 4 findings across Policy Violation and Command Injection. Review the findings below before installing.

What did ClawSecure find in network-scanner?

ClawSecure identified 4 findings in network-scanner, concentrated in Policy Violation, Command Injection and Data Exfiltration. 2 were rated high or critical severity. The most severe include Pattern detected: subprocess.run(cmd, shell=True and Pattern detected: open(config_path).

How was network-scanner audited?

ClawSecure ran network-scanner through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 3 files from openclaw/skills.

What does a score of 75 mean?

ClawSecure assigned network-scanner a security score of 75/100, placing it in the Medium Risk range. This reflects 4 findings led by Policy Violation that warrant review before production use. ClawSecure derives this score with a weighted deduction model (critical -20, high -10, medium -5, low -2 from a base of 100).

Audit Findings for network-scanner

ClawSecure detected 4 security findings in network-scanner, spanning Policy Violation, Command Injection, Data Exfiltration and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for network-scanner

Resolve policy violations
network-scanner trips ClawSecure policy checks. Review each flagged pattern against your security policy and remediate or document an accepted exception before production use.
Harden command execution
network-scanner constructs or runs system commands. Validate that commands are built only from trusted inputs, never pass user-controlled strings directly to a shell, and restrict execution to an allow-list of expected commands.
Audit external network connections
network-scanner sends data to external endpoints. Confirm each destination is expected and authorized, and remove any callback that exfiltrates data. ClawSecure monitors for known exfiltration and C2 endpoints.
Add a config.json permissions manifest
A config.json file declares what an agent component can access: file system, network, shell execution and more. Without it, users have no visibility into what the component can do before installing. This is the single most impactful security improvement for any AI agent skill.

Related Security Research

OWASP ASI Top 10 Explained: The Complete Guide to AI Agent Security Standards→Understanding Our 3-Layer Audit Protocol→Why Generic Scanners Fail at AI Agent Security→

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Scanned on February 7, 2026. network-scanner is one of thousands of agents audited by ClawSecure from the community-curated awesome-openclaw-skills list and the openclaw/skills repository.

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