mirror of https://github.com/infosecn1nja/HELK.git
123 lines
2.8 KiB
Plaintext
123 lines
2.8 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Apache Threading Error\n",
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"Detects an issue in apache logs that reports threading related errors"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Rule Content\n",
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"```\n",
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"- title: Apache Threading Error\n",
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" id: e9a2b582-3f6a-48ac-b4a1-6849cdc50b3c\n",
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" status: experimental\n",
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" description: Detects an issue in apache logs that reports threading related errors\n",
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" author: Florian Roth\n",
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" date: 2019/01/22\n",
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" references:\n",
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" - https://github.com/hannob/apache-uaf/blob/master/README.md\n",
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" logsource:\n",
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" product: apache\n",
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" service: null\n",
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" category: null\n",
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" detection:\n",
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" keywords:\n",
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" - '__pthread_tpp_change_priority: Assertion `new_prio == -1 || (new_prio >= fifo_min_prio\n",
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" && new_prio <= fifo_max_prio)'\n",
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" condition: keywords\n",
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" falsepositives:\n",
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" - https://bz.apache.org/bugzilla/show_bug.cgi?id=46185\n",
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" level: medium\n",
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"\n",
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"```"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Querying Elasticsearch"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Import Libraries"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from elasticsearch import Elasticsearch\n",
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"from elasticsearch_dsl import Search\n",
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"import pandas as pd"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Initialize Elasticsearch client"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"es = Elasticsearch(['http://helk-elasticsearch:9200'])\n",
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"searchContext = Search(using=es, index='logs-*', doc_type='doc')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Run Elasticsearch Query"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"s = searchContext.query('query_string', query='__pthread_tpp_change_priority\\:\\ Assertion\\ `new_prio\\ \\=\\=\\ \\-1\\ \\||\\ \\(new_prio\\ \\=\\ fifo_min_prio\\ \\&&\\ new_prio\\ \\=\\ fifo_max_prio\\)')\n",
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"response = s.execute()\n",
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"if response.success():\n",
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" df = pd.DataFrame((d.to_dict() for d in s.scan()))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Show Results"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"df.head()"
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]
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}
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],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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