Discover gists

Coredump contains stack information as well. If you can use this stack information along with the EBP and EIP register values in the coredump file, you can print the stack trace. I had written a program to do this. You can find the program in the following link.

https://gist.github.com/root42/c979b037f85dc4b2be1f3735afedeb1d

Usage: Compile the above program and give the corefile when you execute it.

   $corestrace core

If you want symbols also to be printed, you do like this: Let's assume the program that generated the core is 'test'.

Copied from http://code.lancepollard.com/complete-list-of-html-meta-tags/

Basic HTML Meta Tags

<meta charset='UTF-8'>
<meta name='keywords' content='your, tags'>
<meta name='description' content='150 words'>
<meta name='subject' content='your website's subject'>
<meta name='copyright' content='company name'>

	<div x-data="googlePlacesAutocomplete" class="grid grid-cols-3 gap-2">
	<input type="text" x-model="address.address1" x-ref="googleAutocomplete" autocomplete="chrome-off" class="col-span-3 sm:col-span-2 order-1" placeholder="Add‌ress">
	<input type="text" x-model="address.address2" placeholder="Apt/Ste" class="col-span-3 sm:col-span-1 order-2">
	<input type="text" x-model="address.city" placeholder="Ci‌ty" class="col-span-1" x-bind:class="`order-${order.locality}`">
	<select x-model="address.state" placeholder="St‌ate" class="col-span-1 order-4" x-show="isUSA">
	<option value="">State</option>
	<option value="AL">Alabama</option>
	<option value="AK">Alaska</option>
	<option value="AZ">Arizona</option>
	<option value="AR">Arkansas</option>

	// ==UserScript==
	// @name Weibo Huati Check-in
	// @description 超级话题集中签到
	// @namespace https://greasyfork.org/users/10290
	// @version 0.4.2018053114
	// @author xyau
	// @match http://.weibo.com/*
	// @match http://weibo.com/
	// @icon https://n.sinaimg.cn/photo/5b5e52aa/20160628/supertopic_top_area_big_icon_default.png
	// @grant GM_getValue

	from typing import Optional, Tuple

	import torch
	from torch.utils.data import Dataset, random_split


	def train_test_split(
	dataset: Dataset,
	test_ratio: float,
	seed: Optional[int] = None,

	rm -rf /etc/systemd/system/ceph*
	killall -9 ceph-mon ceph-mgr ceph-mds
	rm -rf /var/lib/ceph/mon/ /var/lib/ceph/mgr/ /var/lib/ceph/mds/
	pveceph purge
	apt -y purge ceph-mon ceph-osd ceph-mgr ceph-mds
	rm /etc/init.d/ceph
	for i in $(apt search ceph \| grep installed \| awk -F/ '{print $1}'); do apt reinstall $i; done
	dpkg-reconfigure ceph-base
	dpkg-reconfigure ceph-mds
	dpkg-reconfigure ceph-common

	from collections import OrderedDict
	import numpy as np
	import matplotlib
	matplotlib.use('TkAgg')
	import warnings;
	with warnings.catch_warnings():
	warnings.simplefilter("ignore");
	import matplotlib.pyplot as plt
	from skimage.transform import rescale

	import mmap
	import torch
	import json
	import os
	from huggingface_hub import hf_hub_download


	def load_file(filename, device):
	with open(filename, mode="r", encoding="utf8") as file_obj:
	with mmap.mmap(file_obj.fileno(), length=0, access=mmap.ACCESS_READ) as m:

	import asyncio
	import fractions
	import logging
	import threading
	import time
	from typing import Optional, Set, Tuple
	import av
	from av import AudioFrame, VideoFrame

	from aiortc.mediastreams import AUDIO_PTIME, MediaStreamError, MediaStreamTrack

	##############################################################################
	#
	# Name: hello_world_plugin.py
	# Auth: @cmatthewbrooks
	# Desc: A test plugin to learn how to make these work; Specifically, how to
	# have multiple actions within the same plugin.
	#
	# In plain English, IDA will look for the PLUGIN_ENTRY function which
	# should return a plugin object. This object can contain all the
	# functionality itself, or it can have multiple actions.