├── Dockerfile ├── LICENSE ├── README.md └── notebooks ├── bloodhound_alternative_visualizations.ipynb └── playbook_kerberoastable_users.ipynb /Dockerfile: -------------------------------------------------------------------------------- 1 | # Bloodhound Notebooks script: Jupyter Environment Dockerfile 2 | # Author: Roberto Rodriguez (@Cyb3rWard0g) 3 | # License: GPL-3.0 4 | 5 | FROM cyb3rward0g/jupyter-bloodhound:0.0.1 6 | LABEL maintainer="Roberto Rodriguez @Cyb3rWard0g" 7 | LABEL description="Dockerfile Bloodhound Notebooks Project." 8 | 9 | ARG NB_USER 10 | ARG NB_UID 11 | ENV NB_USER jovyan 12 | ENV NB_UID 1000 13 | ENV HOME /home/${NB_USER} 14 | 15 | USER root 16 | 17 | RUN adduser --disabled-password \ 18 | --gecos "Default user" \ 19 | --uid ${NB_UID} \ 20 | ${NB_USER} 21 | 22 | COPY notebooks/* ${HOME}/ 23 | 24 | RUN chown -R ${NB_USER}:${NB_USER} ${HOME} ${JUPYTER_DIR} 25 | 26 | WORKDIR ${HOME} 27 | 28 | USER ${NB_USER} -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # BloodHound Notebooks 2 | 3 | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/hunters-forge/bloodhound-notebooks/master) 4 | 5 | Notebooks created to attack and secure Active Directory environments. 6 | 7 | # Author 8 | 9 | * Roberto Rodriguez [@Cyb3rWard0g](https://twitter.com/Cyb3rWard0g) -------------------------------------------------------------------------------- /notebooks/playbook_kerberoastable_users.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "# BloodHound Playbook: Explore Kerberoastable users\n", 8 | "---------------------------------------------------\n", 9 | "* **Content Author:** Andy Robbins and Rohan Vazarkar\n", 10 | "* **Notebook Author:** Roberto Rodriguez @Cyb3rWard0g\n", 11 | "* **Referece:** https://youtu.be/fqYoOoghqdE?t=1218" 12 | ] 13 | }, 14 | { 15 | "cell_type": "markdown", 16 | "metadata": {}, 17 | "source": [ 18 | "## Count Users with Service Principal Name Set " 19 | ] 20 | }, 21 | { 22 | "cell_type": "markdown", 23 | "metadata": {}, 24 | "source": [ 25 | "When sharphound finds a user with a Service Principal Name set, it property named `hasspn` in the User node to `True`. Therefore, if we want to count the number users with that property set, we just need to query for users with `hasspn = True`." 26 | ] 27 | }, 28 | { 29 | "cell_type": "code", 30 | "execution_count": 1, 31 | "metadata": {}, 32 | "outputs": [], 33 | "source": [ 34 | "from py2neo import Graph" 35 | ] 36 | }, 37 | { 38 | "cell_type": "code", 39 | "execution_count": 2, 40 | "metadata": {}, 41 | "outputs": [], 42 | "source": [ 43 | "g = Graph(\"bolt://206.189.85.93:7687\", auth=(\"neo4j\", \"BloodHound\"))" 44 | ] 45 | }, 46 | { 47 | "cell_type": "code", 48 | "execution_count": 3, 49 | "metadata": {}, 50 | "outputs": [], 51 | "source": [ 52 | "users_hasspn_count = g.run(\"\"\"\n", 53 | "MATCH (u:User {hasspn:true})\n", 54 | "RETURN COUNT(u)\n", 55 | "\"\"\").to_data_frame()" 56 | ] 57 | }, 58 | { 59 | "cell_type": "code", 60 | "execution_count": 4, 61 | "metadata": {}, 62 | "outputs": [ 63 | { 64 | "data": { 65 | "text/html": [ 66 | "
\n", 67 | "\n", 80 | "\n", 81 | " \n", 82 | " \n", 83 | " \n", 84 | " \n", 85 | " \n", 86 | " \n", 87 | " \n", 88 | " \n", 89 | " \n", 90 | " \n", 91 | " \n", 92 | " \n", 93 | "
COUNT(u)
06
\n", 94 | "
" 95 | ], 96 | "text/plain": [ 97 | " COUNT(u)\n", 98 | "0 6" 99 | ] 100 | }, 101 | "execution_count": 4, 102 | "metadata": {}, 103 | "output_type": "execute_result" 104 | } 105 | ], 106 | "source": [ 107 | "users_hasspn_count" 108 | ] 109 | }, 110 | { 111 | "cell_type": "code", 112 | "execution_count": 5, 113 | "metadata": {}, 114 | "outputs": [ 115 | { 116 | "data": { 117 | "text/html": [ 118 | "
\n", 119 | "\n", 132 | "\n", 133 | " \n", 134 | " \n", 135 | " \n", 136 | " \n", 137 | " \n", 138 | " \n", 139 | " \n", 140 | " \n", 141 | " \n", 142 | " \n", 143 | " \n", 144 | " \n", 145 | " \n", 146 | " \n", 147 | " \n", 148 | " \n", 149 | " \n", 150 | " \n", 151 | " \n", 152 | " \n", 153 | " \n", 154 | " \n", 155 | " \n", 156 | " \n", 157 | " \n", 158 | " \n", 159 | " \n", 160 | " \n", 161 | " \n", 162 | " \n", 163 | " \n", 164 | " \n", 165 | "
u.name
0SQLSVC@TOKYO.JAPAN.LOCAL
1SCANSERVICE@TOKYO.JAPAN.LOCAL
2KRBTGT@JAPAN.LOCAL
3BACKUPLDAP@TOKYO.JAPAN.LOCAL
4KRBTGT@TOKYO.JAPAN.LOCAL
5KRBTGT@SINGAPORE.LOCAL
\n", 166 | "
" 167 | ], 168 | "text/plain": [ 169 | " u.name\n", 170 | "0 SQLSVC@TOKYO.JAPAN.LOCAL\n", 171 | "1 SCANSERVICE@TOKYO.JAPAN.LOCAL\n", 172 | "2 KRBTGT@JAPAN.LOCAL\n", 173 | "3 BACKUPLDAP@TOKYO.JAPAN.LOCAL\n", 174 | "4 KRBTGT@TOKYO.JAPAN.LOCAL\n", 175 | "5 KRBTGT@SINGAPORE.LOCAL" 176 | ] 177 | }, 178 | "execution_count": 5, 179 | "metadata": {}, 180 | "output_type": "execute_result" 181 | } 182 | ], 183 | "source": [ 184 | "g.run(\"\"\"\n", 185 | "MATCH (u:User {hasspn:true})\n", 186 | "RETURN u.name\n", 187 | "\"\"\").to_data_frame()" 188 | ] 189 | }, 190 | { 191 | "cell_type": "markdown", 192 | "metadata": {}, 193 | "source": [ 194 | "## Retrieve Kerberoastable Users with Path to DA " 195 | ] 196 | }, 197 | { 198 | "cell_type": "markdown", 199 | "metadata": {}, 200 | "source": [ 201 | "We can limit our results and return only Kereberoastable users with paths to DA. We can find Kerberoastable users with a path to DA and also see the length of the path to see which one is the closest." 202 | ] 203 | }, 204 | { 205 | "cell_type": "code", 206 | "execution_count": 6, 207 | "metadata": {}, 208 | "outputs": [], 209 | "source": [ 210 | "krb_users_path_to_DA = g.run(\"\"\"\n", 211 | "MATCH (u:User {hasspn:true})\n", 212 | "MATCH (g:Group {name:'DOMAIN ADMINS@JAPAN.LOCAL'})\n", 213 | "MATCH p = shortestPath(\n", 214 | " (u)-[*1..]->(g)\n", 215 | ")\n", 216 | "RETURN u.name,LENGTH(p)\n", 217 | "ORDER BY LENGTH(p) ASC\n", 218 | "\"\"\").to_data_frame()" 219 | ] 220 | }, 221 | { 222 | "cell_type": "code", 223 | "execution_count": 7, 224 | "metadata": {}, 225 | "outputs": [ 226 | { 227 | "data": { 228 | "text/html": [ 229 | "
\n", 230 | "\n", 243 | "\n", 244 | " \n", 245 | " \n", 246 | " \n", 247 | " \n", 248 | " \n", 249 | " \n", 250 | " \n", 251 | " \n", 252 | " \n", 253 | " \n", 254 | " \n", 255 | " \n", 256 | " \n", 257 | " \n", 258 | " \n", 259 | " \n", 260 | " \n", 261 | " \n", 262 | " \n", 263 | "
u.nameLENGTH(p)
0SQLSVC@TOKYO.JAPAN.LOCAL3
1BACKUPLDAP@TOKYO.JAPAN.LOCAL5
\n", 264 | "
" 265 | ], 266 | "text/plain": [ 267 | " u.name LENGTH(p)\n", 268 | "0 SQLSVC@TOKYO.JAPAN.LOCAL 3\n", 269 | "1 BACKUPLDAP@TOKYO.JAPAN.LOCAL 5" 270 | ] 271 | }, 272 | "execution_count": 7, 273 | "metadata": {}, 274 | "output_type": "execute_result" 275 | } 276 | ], 277 | "source": [ 278 | "krb_users_path_to_DA" 279 | ] 280 | }, 281 | { 282 | "cell_type": "markdown", 283 | "metadata": {}, 284 | "source": [ 285 | "## Return Most Privileged Kerberoastable users" 286 | ] 287 | }, 288 | { 289 | "cell_type": "markdown", 290 | "metadata": {}, 291 | "source": [ 292 | "What if we do not have kerberoastable users with a path to DA? We can still look for most privileged Kerberoastable users based on how many computers they have local admins rights on. " 293 | ] 294 | }, 295 | { 296 | "cell_type": "code", 297 | "execution_count": 8, 298 | "metadata": {}, 299 | "outputs": [], 300 | "source": [ 301 | "privileged_kerberoastable_users = g.run(\"\"\"\n", 302 | "MATCH (u:User {hasspn:true})\n", 303 | "OPTIONAL MATCH (u)-[:AdminTo]->(c1:Computer)\n", 304 | "OPTIONAL MATCH (u)-[:MemberOf*1..]->(:Group)-[:AdminTo]->(c2:Computer)\n", 305 | "WITH u,COLLECT(c1) + COLLECT(c2) AS tempVar\n", 306 | "UNWIND tempVar AS comps\n", 307 | "RETURN u.name,COUNT(DISTINCT(comps))\n", 308 | "ORDER BY COUNT(DISTINCT(comps)) DESC\n", 309 | "\"\"\").to_data_frame()" 310 | ] 311 | }, 312 | { 313 | "cell_type": "code", 314 | "execution_count": 9, 315 | "metadata": {}, 316 | "outputs": [ 317 | { 318 | "data": { 319 | "text/html": [ 320 | "
\n", 321 | "\n", 334 | "\n", 335 | " \n", 336 | " \n", 337 | " \n", 338 | " \n", 339 | " \n", 340 | " \n", 341 | " \n", 342 | " \n", 343 | " \n", 344 | " \n", 345 | " \n", 346 | " \n", 347 | " \n", 348 | " \n", 349 | "
u.nameCOUNT(DISTINCT(comps))
0SQLSVC@TOKYO.JAPAN.LOCAL1
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" 351 | ], 352 | "text/plain": [ 353 | " u.name COUNT(DISTINCT(comps))\n", 354 | "0 SQLSVC@TOKYO.JAPAN.LOCAL 1" 355 | ] 356 | }, 357 | "execution_count": 9, 358 | "metadata": {}, 359 | "output_type": "execute_result" 360 | } 361 | ], 362 | "source": [ 363 | "privileged_kerberoastable_users" 364 | ] 365 | }, 366 | { 367 | "cell_type": "code", 368 | "execution_count": null, 369 | "metadata": {}, 370 | "outputs": [], 371 | "source": [] 372 | } 373 | ], 374 | "metadata": { 375 | "kernelspec": { 376 | "display_name": "Python 3", 377 | "language": "python", 378 | "name": "python3" 379 | }, 380 | "language_info": { 381 | "codemirror_mode": { 382 | "name": "ipython", 383 | "version": 3 384 | }, 385 | "file_extension": ".py", 386 | "mimetype": "text/x-python", 387 | "name": "python", 388 | "nbconvert_exporter": "python", 389 | "pygments_lexer": "ipython3", 390 | "version": "3.7.3" 391 | } 392 | }, 393 | "nbformat": 4, 394 | "nbformat_minor": 4 395 | } 396 | --------------------------------------------------------------------------------