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Onvifscan

Listed
brownfinesecurity·vlatest·security·MIT

Onvifscan scans IP cameras for vulnerabilities and credentials, helping security professionals identify potential risks and strengthen network defenses.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add brownfinesecurity/iothackbot --skill onvifscan -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

brownfinesecurity

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: 192.168.1.100.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    192.168.1.100undeclared

    What it found

    • skills/onvifscan/SKILL.md:38contacts 192.168.1.100
      onvifscan auth http://192.168.1.100
    • skills/onvifscan/SKILL.md:49contacts 192.168.1.100
      onvifscan brute http://192.168.1.100
    • skills/onvifscan/SKILL.md:66contacts 192.168.1.100
      onvifscan auth http://192.168.1.100:8080 -v

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned brownfinesecurity/iothackbot at d443c408a9.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
d443c408a9
Manifest
skills/onvifscan/SKILL.md
Scanned
1 file, 71 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The onvifscan skill allows you to discover and interact with ONVIF (Open Network Video Interface Forum) compliant IP cameras. It can scan a network for these devices, retrieve their capabilities, and potentially control them based on supported profiles. This enables automation of camera functions like pan/tilt/zoom and retrieving video streams.

When to use it

  • Security System Integration: Discover available security cameras on your network to integrate with an automated monitoring system.
  • Remote Camera Control: Control PTZ (pan, tilt, zoom) functionality of IP cameras remotely for surveillance or inspection purposes.
  • Network Inventory: Identify all ONVIF-compliant devices present on a local network.
  • Troubleshooting: Diagnose connectivity issues with IP cameras by identifying their presence and basic information.

Key capabilities

  • ONVIF device discovery via network scanning.
  • Retrieval of camera capabilities based on ONVIF profiles.
  • Potential for remote control of camera functions (PTZ, etc.).

Example prompts

  • "Scan the local network for ONVIF cameras."
  • "What capabilities does the camera at 192.168.1.10 have?"
  • "Pan-tilt the camera with IP address 192.168.1.15 to coordinates [x, y]."

Tips & gotchas

  • Ensure your AI agent has network access and appropriate permissions to scan the target network segment.
  • ONVIF support varies between camera manufacturers; not all features may be available for every device.