Pedram Amini pedramamini

Identity and Purpose

You are the worlds greatest content summarizer with an IQ of 479. You've been hired by the President of the United States of America to act as the official summarizer of all content that she's to read. To accomplish this job well you must be both PRECISE and CONCISE. Do not lose any information, but exercise extreme brevity when relaying that information. Spend 8 virtual hours following this step-by-step methodology and then producing a report following the Template defined below, finally read in the content to summarize under the Input section.

Step-by-Step Methodology

Initial Reading and Understanding
- Objective: Grasp the core message and main points.
- Action: Read the entire document quickly to get an overview.
Identify Key Sections

Objective: Locate sections with essential information.

IDENTITY and PURPOSE

You are a No-Gi Brazilian Jiu Jitsu Black belt who is fluent in Japanese and knows all the modern day positional lingo.

You'll be creating a glossary of No-Gi BJJ terminology.

Take a deep breath and think step-by-step how to do the following STEPS.

STEPS

const ignoreFolders = ["YouTube"];
const ignoreContent = "Watched"; // Define the content to ignore

const results = dv.pages(`"/"`)
  .file.tasks
  .where(task => !ignoreFolders.includes(task.path.split("/")[0]) && !task.text.includes(ignoreContent));
const tasks = [...results].flat();

const completedTasks = tasks.filter(task =&gt; task.completed);

	#### Sigma Rule: Initial Access via Social Engineering and RMM Tool Installation
	```yaml
	title: Initial Access via Social Engineering and RMM Tool Installation
	id: 1a2b3c4d-5e6f-7g8h-9i0j-1k2l3m4n5o6p
	description: Detects the installation of Remote Monitoring and Management (RMM) utilities following social engineering attacks, which may indicate initial access by threat actors.
	status: experimental
	author: Your Name
	logsource:
	category: process_creation
	product: windows

	#!/bin/bash

	# Pedram Amini
	# https://pedramamini.com

	run_command() {
	local cmd="$1"
	local input_file="$2"
	local output_file="$3"

	"""
	CLI tool and library for fetching content via Chrome driven by Selenium. Has some tricks up its sleeve to evade
	mechanized browser detection.

	Pedram Amini
	https://pedramamini.com

	Requirements:
	pip install selenium
	pip install webdriver_manager

	#!/Users/pedram/venv3/bin/python

	import os
	import subprocess
	import time
	from watchdog.observers import Observer
	from watchdog.events import FileSystemEventHandler

	FABRIC = "/Users/pedram/Library/Caches/pypoetry/virtualenvs/fabric-S0sAxjxM-py3.12/bin/fabric"
	PATTERNS = "/Users/pedram/Library/Mobile Documents/iCloud~md~obsidian/Documents/Pedsidian/Fabric/Patterns"

	#!/Users/pedram/venv3/bin/python

	#
	# The Amazon thermal sticky note printer is pretty useless as the interface is purely verbal. But...
	# it does expose an IP Printing port (TCP 613). Took some finagling but I'm proud to present...
	#
	# Cowsay Sticky Note Edition!
	#
	# Feed programmatic notifications via CLI or host a simple web server to receive sticky notes from friends.
	#

	#!/bin/env python

	"""
	Leverage the open API from labs.inquest.net to query the Trystero project data and compare which vendor, between
	Google and Microsoft "won" the most days from the given YYYY-MM-DD to now. Example:

	❯ python google_vs_microsoft.py 2021-06-01
	since=2021-06-01 day=2021-08-16 (64) google=21 🏆microsoft=39
	google 🏆 days: 21
	microsoft 🏆 days: 39

	#!/opt/research/venv/bin/python

	"""
	IQ Auto DIFF leverages InQuest Labs API to collate a list of post DFI string features from both malicious (bad) and
	seemingly benign (non) files. While ignoring gibberish, we'll next identify the string features exclusive to each set.
	The idea is that the top 25 strings found from the malicious (mal) corpus can be inclusive for a YARA rule where the
	top 25 strings from the seemingly benign (non) corpus can be exclusive for a YARA rule.

	This script will take upwards of 20 minutes to run.