mirror of https://github.com/infosecn1nja/HELK.git
127 lines
2.8 KiB
Plaintext
127 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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"# Source Code Enumeration Detection by Keyword\n",
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"Detects source code enumeration that use GET requests by keyword searches in URL strings"
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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: Source Code Enumeration Detection by Keyword\n",
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" id: 953d460b-f810-420a-97a2-cfca4c98e602\n",
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" description: Detects source code enumeration that use GET requests by keyword searches\n",
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" in URL strings\n",
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" author: James Ahearn\n",
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" references:\n",
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" - https://pentester.land/tutorials/2018/10/25/source-code-disclosure-via-exposed-git-folder.html\n",
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" - https://medium.com/@logicbomb_1/bugbounty-how-i-was-able-to-download-the-source-code-of-indias-largest-telecom-service-52cf5c5640a1\n",
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" logsource:\n",
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" category: webserver\n",
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" product: null\n",
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" service: null\n",
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" detection:\n",
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" keywords:\n",
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" - '*.git/*'\n",
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" condition: keywords\n",
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" fields:\n",
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" - client_ip\n",
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" - vhost\n",
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" - url\n",
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" - response\n",
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" falsepositives:\n",
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" - unknown\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='*.git\\/*')\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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