Gaarv Gaarv

Building Complex Drag & Drop Visual AI Workflows with React Flow and Python Flask

Created by @rUv

This tutorial demonstrates how to create a Python Flask implementation with React Flow to build complex AI workflows, reasoning systems, and comprehension modeling tools.

React Flow is a powerful open-source library for building interactive node-based interfaces in React applications. Its flexibility and extensibility make it an excellent choice for creating sophisticated AI applications.

log4j RCE Exploitation Detection

You can use these commands and rules to search for exploitation attempts against log4j RCE vulnerability CVE-2021-44228

Grep / Zgrep

This command searches for exploitation attempts in uncompressed files in folder /var/log and all sub folders

sudo egrep -I -i -r '\$(\{|%7B)jndi:(ldap[s]?|rmi|dns|nis|iiop|corba|nds|http):/[^\n]+' /var/log

Most of the time, applications won't pin the certificate. Running mitmproxy and passing all Android traffic through it is as simple as adb connect <IP> && adb shell settings put global http_proxy <mitmproxy host>:<mitmproxy port> (or use Android's UI)

Some applications, however, pin the certificate and will refuse to do any network calls if using mitmproxy.

Luckily, Frida is here!

This assumes Android x86 is running in a VM, that you are a developer in Android (tap the build version enough times), adb debugging is enabled, and that android tools are installed on the host.

start mitmproxy on host
visit mitm.it on the target (after setting the proxy) and install the spoofed cert

	#!/usr/bin/env python3
	# docs: https://grafana.com/docs/loki/latest/api/#post-lokiapiv1push

	import requests
	import time

	# variables
	LOKI_USERNAME="x"
	LOKI_PASSWORD="x"
	LOKI_ENDPOINT="https://loki-api.example.com/loki/api/v1/push"

	from __future__ import annotations

	import json
	from collections.abc import Mapping
	from dataclasses import dataclass
	from typing import Callable


	class Mutator:
	def __init_subclass__(

	import ray
	import numpy as np


	@ray.remote
	def map(data, npartitions):
	outputs = [list() for _ in range(npartitions)]
	for row in data:
	outputs[int(row * npartitions)].append(row)
	return tuple(sorted(output) for output in outputs)

	/* Utilities */

	var RANDOM = function() {};

	function _randomInt(min, max) {
	return Math.floor(Math.random() * (max - min + 1)) + min;
	}

	function _randomHex(len) {
	var hex = '0123456789abcdef';

	#!/bin/bash
	# CREATE DIRECTORY ON DBFS FOR LOGS
	LOG_DIR=/dbfs/databricks/scripts/logs/$DB_CLUSTER_ID/dask/
	HOSTNAME=`hostname`
	mkdir -p $LOG_DIR
	# INSTALL DASK AND OTHER DEPENDENCIES
	set -ex
	/databricks/python/bin/python -V
	. /databricks/conda/etc/profile.d/conda.sh
	conda activate /databricks/python

	[[source]]
	name = "pypi"
	url = "https://pypi.org/simple"
	verify_ssl = true

	[dev-packages]

	[packages]
	mysql-connector-python = "*"

	import copy
	import cv2
	import os


	def merge_bboxes(bboxes, delta_x=0.1, delta_y=0.1):
	"""
	Arguments:
	bboxes {list} -- list of bounding boxes with each bounding box is a list [xmin, ymin, xmax, ymax]
	delta_x {float} -- margin taken in width to merge