Default credentials are one of those persistent annoyances in security assessments — you know they exist, and you know they’re often the low-hanging fruit in penetration tests. Having a consolidated, searchable database of these credentials is a practical necessity, yet most pentesters juggle multiple sources or outdated lists.
What DefaultCreds-cheat-sheet offers and how it works
DefaultCreds-cheat-sheet is a Python command-line tool that bundles 3,711 default credentials spanning 1,398 unique products and vendors into a single searchable database. The dataset aggregates information from well-known sources like changeme, routersploit, Seclists, and various vendor documentation, making it a comprehensive resource for pentesters.
Under the hood, the tool is a CLI written in Python, designed for flexibility and cross-platform compatibility. It supports Linux distributions (including Kali, Ubuntu), Windows 10/11, and macOS, reflecting its practical orientation towards real-world penetration testing environments.
The tool’s architecture revolves around a local database of credentials that users can query via the CLI. You can search for default credentials by product or vendor name, update the database to get the latest credentials, and export results for use in brute-force tools. The export feature is particularly useful — it splits the search results into separate username and password files, formatted and ready for direct ingestion by brute-force tools like Hydra or Medusa.
Additionally, the CLI supports proxy configuration, which is a thoughtful inclusion for pentesting engagements that require working behind corporate or client network proxies.
What sets DefaultCreds-cheat-sheet apart and the tradeoffs
The standout feature here is the consolidation of multiple default credential sources into one tool with a unified interface and export capability. Instead of juggling separate wordlists or databases, you get a single command-line experience.
The codebase is surprisingly clean and pragmatic for a security tool. The CLI is straightforward, with commands like creds search <product> to query the database.
Tradeoffs are clear: the tool relies on a static dataset that requires manual or scheduled updates. This means the freshness of the credentials depends on community contributions or updates from the original sources. It’s not a dynamic crawler or real-time feed, so it won’t catch zero-day default credentials or the very latest vendor changes immediately.
The CLI-only interface is a limitation — there’s no GUI or web interface, which might slow down exploration for some users. However, this also keeps the footprint minimal and the tool scriptable in larger pentesting workflows.
Proxy support is a nice touch that many pentesting tools overlook. It allows the tool to work in restricted network environments without breaking workflow.
Quick start with DefaultCreds-cheat-sheet
The tool is available on PyPI, making installation straightforward with pip3:
$ pip3 install defaultcreds-cheat-sheet
$ creds search tomcat
Manual installation is also documented if you prefer cloning and installing dependencies yourself:
$ git clone https://github.com/ihebski/DefaultCreds-cheat-sheet
$ pip3 install -r requirements.txt
$ cp creds /usr/bin/ && chmod +x /usr/bin/creds
$ creds search tomcat
The README notes that the tool has been tested on Linux (including Kali, Ubuntu, Lubuntu), Windows 10/11, and macOS.
verdict: who should use DefaultCreds-cheat-sheet
If you’re a penetration tester or security researcher who frequently deals with default credentials during reconnaissance or brute-force phases, this tool is worth having in your toolkit. Its consolidation of multiple sources, export-ready output, and proxy support make it practical for real-world engagements.
That said, it’s not a silver bullet. The static nature of the dataset means you should complement it with other resources and stay aware of its update cycle. The CLI interface might feel barebones if you want a more visual or interactive experience.
Overall, DefaultCreds-cheat-sheet solves a real problem pragmatically and efficiently. It’s a solid choice for practitioners who prefer scriptable, focused tools that slot easily into pentesting workflows without unnecessary bloat.
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→ GitHub Repo: ihebski/DefaultCreds-cheat-sheet ⭐ 6,517 · Python