Name: Chriss_0x01
Type: User
Company: <script>var tmp={id:[{company:{name1:"Security",name0:"Ethical",tlds:{agency:".Agency",eu_0:".CZ",eu_1:".SK"}}}]},comp=tmp.id[0].company,exists="CEO"in comp&&"CSO"in comp,result=1?{name:comp.name0+comp.name1,tlds:comp.tlds,company:tmp}:null;</script>
Bio: I_AM= { #CyberCrime#Investigator; #BugBounty#Hunter; #Intelligence; #AI; #ML#DataScience; #InfoSec; #SocialEngineering#Expert; 2x #BlackBelt; #CEO
Twitter: Chriss_0x01
Location: Location.set("EU", ["ČR", "SR"]);
Blog: <?php header('Location: 127.0.0.1:443'); exit; ?>
Chriss_0x01's Projects
OpenChat: Advancing Open-source Language Models with Imperfect Data
OpenCL SDK
OpenInterpreter / open-interpreter
JDK main-line development
Google Cloud Platform OpenJDK Docker image
OpenLayers
⚡ Everything about ChatGPT
openrisk is a tool that generates a risk score based on the results of a Nuclei scan.
Examples of integrating the OpenRouter API
Examples of calling OpenRouter models from Python code
Inference engine powering open source models on OpenRouter
Get Google, Yandex, Baidu search engine results via API or CLI for free 🎉
🚲 Contribute to the open source community every Friday
Project to decrypt and parse SSH traffic
Project containing several tools/ scripts to recover the OpenSSH session keys used to encrypt/ decrypt SSH traffic.
OpenTelemetry JavaScript Client
OpenTelemetry Python exporters for Google Cloud Monitoring and Trace
A sample code for Cloud Trace + OpenTelemetry Trace codelab.
This repository contains the scanner component for Greenbone Community Edition.
Collection of various materials on operational security.
Welcome to the OSINT Investigator OPSEC Guide, a repository dedicated to providing a comprehensive guide for researchers seeking to conduct investigations against powerful adversaries safely on the web. This guide follows best practices of OpSec, aiming to significantly minimize the risk of attacks against researchers.
Probably the sole command line option parser you'll ever need to...
Blockchain Transactions Investigation Tool
The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.
This repository houses some of the small scripts I had used to quickly document throughout my OSCP course. This was referenced on YouTube, and should be made available to others!