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GitHub Search Syntax for Finding API Keys/Secrets/Tokens

As a security professional, it is important to conduct a thorough reconnaissance. With the increasing use of APIs nowadays, it has become paramount to keep access tokens and other API-related secrets secure in order to prevent leaks. However, despite technological advances, human error remains a factor, and many developers still unknowingly hardcode their API secrets into source code and commit them to public repositories. GitHub, being a widely popular platform for public code repositories, may inadvertently host such leaked secrets. To help identify these vulnerabilities, I have created a comprehensive search list using powerful search syntax that enables the search of thousands of leaked keys and secrets in a single search.

Search Syntax:

(path:*.{File_extension1} OR path:*.{File_extension-N}) AND ({Keyname1} OR {Keyname-N}) AND (({Signature/pattern1} OR {Signature/pattern-N}) AND ({PlatformTag1} OR {PlatformTag-N}))

Examples:

**1.

AGX coherency, caching, and TLBs

These are just some notes on my current understanding of the subtleties of the AGX memory model and the TLB/caching issues I'm seeing.

GPU side

MMU (UAT)

The AGX MMU has 64 context slots (63 usable for user contexts). The page table base addresses are stored in a page (Apple calls it "TTBAT") in main memory. There are user and kernel halves (low and high), but we can ignore the high half from the GPU perspective since it is only used in very specific cases. The permission bits are funny and the same page tables are shared (and interpreted differently) by the ASC, but they are basically ARM page tables. Each context slot has an ASID (how many bits?), like a TTBR in ARM.

	git clone https://github.com/cpacker/MemGPT.git
	conda create -n memgpt python=3.10
	conda activate memgpt
	cd memgpt
	pip install -r requirements.txt
	export OPENAI_API_KEY="YOUR_API_KEY"
	# download .txt docs from: https://huggingface.co/datasets/MemGPT/example-sec-filings/tree/main
	# place in "memgpt/personas/examples/preload_archival/*.txt"
	python3 main.py --archival_storage_files_compute_embeddings="memgpt/personas/examples/preload_archival/*.txt" --persona=memgpt_doc --human=basic

	# Clone llama.cpp
	git clone https://github.com/ggerganov/llama.cpp.git
	cd llama.cpp

	# Build it
	LLAMA_METAL=1 make

	# Download model
	export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin
	wget "https://huggingface.co/TheBloke/Llama-2-13B-chat-GGML/resolve/main/${MODEL}"

	delhist() {
	local num_lines="$1"
	local file="$HOME/.zsh_history"

	if [[ ! "$num_lines" =~ ^[0-9]+$ ]]; then
	echo "Invalid number of lines: $num_lines"
	return 1
	fi

	local total_lines=$(wc -l < "$file")

	#pip install git+https://github.com/huggingface/transformers.git

	import datetime
	import sys
	from transformers import pipeline
	from transformers.pipelines.audio_utils import ffmpeg_microphone_live

	pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base", device=0)
	sampling_rate = pipe.feature_extractor.sampling_rate

	# 4x 1 chip (2 cores) per process:
	os.environ["TPU_CHIPS_PER_HOST_BOUNDS"] = "1,1,1"
	os.environ["TPU_HOST_BOUNDS"] = "1,1,1"
	# Different per process:
	os.environ["TPU_VISIBLE_DEVICES"] = "0" # "1", "2", "3"
	# Pick a unique port per process
	os.environ["TPU_MESH_CONTROLLER_ADDRESS"] = "localhost:8476"
	os.environ["TPU_MESH_CONTROLLER_PORT"] = "8476"

	# 1-liner for bash: TPU_CHIPS_PER_HOST_BOUNDS=1,1,1 TPU_HOST_BOUNDS=1,1,1 TPU_VISIBLE_DEVICES=0 TPU_MESH_CONTROLLER_ADDRESS=localhost:8476 TPU_MESH_CONTROLLER_PORT=8476

	// SPDX-License-Identifier: MIT
	pragma solidity ^0.8.13;

	library Iterators {

	// Function types:
	// https://docs.soliditylang.org/en/latest/types.html#function-types
	function map(uint256[] memory input, function (uint256) internal pure returns (uint256) f)
	internal
	pure

	/**
	* General-purpose NodeJS CLI/API wrapping the Stable-Diffusion python scripts.
	*
	* Note that this uses an older fork of stable-diffusion
	* with the 'txt2img.py' script, and that script was modified to
	* support the --outfile command.
	*/

	var { spawn, exec } = require("child_process");
	var path = require("path");