Taehoon carpedm20

Deobfuscating / Unminifying Obfuscated Web App / JavaScript Code

Some notes and tools for reverse engineering / deobfuscating / unminifying obfuscated web app code.

Base instance to launch
- https://console.aws.amazon.com/ec2/home?region=us-west-2#launchAmi=ami-e1b93481
- p2.xlarge
- 32GB EBS mount
- Configure security group to allow access to all for ports 22 and 8888
References
- http://expressionflow.com/2016/10/09/installing-tensorflow-on-an-aws-ec2-p2-gpu-instance/

ssh -i ~/.ssh/udacity-carnd.pem [email protected]

난해한 혀엉... 언어 v0.4.5

…(U+2026), ⋯(U+22EF), ⋮(U+22EE)는 모두 .(U+002E)가 3번 연속으로 나열된 것과 같은 것으로 봅니다.
"한글 음절 문자"는 가(U+AC00) 이상 힣(U+D7A3) 이하의 유니코드 문자들을 의미합니다.

스택

스택의 모든 원소는 유리수 또는 NaN으로 이루어져 있습니다. 분모가 1인 유리수를 편의상 정수라고 칭합니다.
NaN은 특수한 숫자처럼 취급됩니다. 어떠한 연산을 하더라도 그 연산에 NaN이 있을 경우 그 연산의 값은 NaN이 됩니다.

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

	# Got a bunch of .ckpt files to convert?
	# Here's a handy script to take care of all that for you!
	# Original .ckpt files are not touched!
	# Make sure you have enough disk space! You are going to DOUBLE the size of your models folder!
	#
	# First, run:
	# pip install torch torchsde==0.2.5 safetensors==0.2.5
	#
	# Place this file in the SAME DIRECTORY as all of your .ckpt files, open a command prompt for that folder, and run:
	# python convert_to_safe.py

	// Original Source Code
	var video = document.querySelector("div.video-player video");

	if (video.webkitSupportsPresentationMode && typeof video.webkitSetPresentationMode === "function") {
	video.webkitSetPresentationMode(video.webkitPresentationMode === "picture-in-picture" ? "inline" : "picture-in-picture");
	}


	// paste below line to as your bookmark in safari
	// javascript:(function()%7Bvar%20video%20%3D%20document.querySelector(%22div.video-player%20video%22)%3Bif%20(video.webkitSupportsPresentationMode%20%26%26%20typeof%20video.webkitSetPresentationMode%20%3D%3D%3D%20%22function%22)%20%7Bvideo.webkitSetPresentationMode(video.webkitPresentationMode%20%3D%3D%3D%20%22picture-in-picture%22%20%3F%20%22inline%22%20%3A%20%22picture-in-picture%22)%3B%7D%7D)()

	var SecTrustEvaluate_handle =
	Module.findExportByName('Security', 'SecTrustEvaluate');
	var SecTrustEvaluateWithError_handle =
	Module.findExportByName('Security', 'SecTrustEvaluateWithError');
	var SSL_CTX_set_custom_verify_handle =
	Module.findExportByName('libboringssl.dylib', 'SSL_CTX_set_custom_verify');
	var SSL_get_psk_identity_handle =
	Module.findExportByName('libboringssl.dylib', 'SSL_get_psk_identity');
	var boringssl_context_set_verify_mode_handle = Module.findExportByName(
	'libboringssl.dylib', 'boringssl_context_set_verify_mode');

	def top_k_top_p_filtering(logits, top_k=0, top_p=0.0, filter_value=-float('Inf')):
	""" Filter a distribution of logits using top-k and/or nucleus (top-p) filtering
	Args:
	logits: logits distribution shape (vocabulary size)
	top_k >0: keep only top k tokens with highest probability (top-k filtering).
	top_p >0.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).
	Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)
	"""
	assert logits.dim() == 1 # batch size 1 for now - could be updated for more but the code would be less clear
	top_k = min(top_k, logits.size(-1)) # Safety check

	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)

Taehoon carpedm20

Deobfuscating / Unminifying Obfuscated Web App / JavaScript Code

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난해한 혀엉... 언어 v0.4.5

스택

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