SAP/credential-digger
A Github scanning tool that identifies hardcoded credentials while filtering the false positive data through machine learning models :lock:
This tool helps security and development teams prevent accidental data exposure by scanning code repositories for hardcoded sensitive information like passwords, API keys, and tokens. It takes your GitHub or GitLab repository as input and identifies potential secrets, filtering out common false positives using machine learning to provide a more accurate list of findings. Security engineers and developers who want to ensure their code doesn't contain easily discoverable credentials would use this.
361 stars.
Use this if you need to automatically scan your code repositories to detect and manage hardcoded credentials, reducing the manual effort of reviewing numerous false positives.
Not ideal if you primarily work on Windows, require scanning for secrets in non-code assets, or need a solution that runs entirely offline without any external dependencies.
Stars
361
Forks
54
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 03, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/SAP/credential-digger"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
mkearney/tweetbotornot
🤖 R package for detecting Twitter bots via machine learning
jubins/MachineLearning-Detecting-Twitter-Bots
Custom classification algorithm to sense the bots vs human on social media space like twitter
KOSASIH/quantum-sentinel
Quantum Sentinel is an advanced cybersecurity framework that utilizes quantum key distribution...
mahostar/EasyShield_v2.5
EasyShield Anti Spoofing AI Model for edge devices (State-of-the-art) performance (Open Source)...
slowmist/automatic-tron-address-clustering
We use machine learning and graph algorithms to analyze the attributes of TRON addresses with...