A Cobalt Strike Scanner that retrieves detected Team Server beacons into a JSON object

Related tags

JSONmelting-cobalt
Overview

melting-cobalt 👀

A tool to hunt/mine for Cobalt Strike beacons and "reduce" their beacon configuration for later indexing. Hunts can either be expansive and internet wide using services like SecurityTrails, Shodan, or ZoomEye or a list of IP's.

Getting started

  1. Install melting-cobalt
  2. Configure your tokens to begin the hunt
  3. Mine Beacons to begin reducing them
  4. Review results cat results.json | jq

📺 Demo

Installation

Requirements: virtualenv, and python3.8+

  1. git clone https://github.com/splunk/melting-cobalt && cd melting-cobalt Clone project and cd into the project dir.
  2. pip install virtualenv && virtualenv -p python3 venv && source venv/bin/activate && pip install -r requirements.txt Create Virtualenv and install requirements.

Continue to configuring for SecurityTrails, Shodan, or ZoomEye API key.

Configuration melting-cobalt.conf

Copy melting-cobalt.conf.example to melting-cobalt.conf!

Make sure to set a token for one of the available providers. If you need to create one for your account follow [these](htt://need wiki page) instructions.

Configuration example:

[global]
output = results.json
# stores matches in JSON here

log_path = melting-cobalt.log
# Sets the log_path for the logging file

log_level = INFO
# Sets the log level for the logging
# Possible values: INFO, ERROR, VERBOSE

nse_script = grab_beacon_config.nse
# path to the nse script that rips down cobalt configs. This is specifically using https://github.com/whickey-r7/grab_beacon_config

searches = search.yml
# contains the different searches to run on each internet scanning service provider (eg shodan, zoomeye, security trails) when hunting for team servers.

shodan_token = TOKENHERE
# shodan token for searching

zoomeye_token = TOKENHERE
# zoomeye token for searching

securitytrails_token = TOKENHERE
# security trails token for searching

Search The Internet

To modify the default mining performed across different providers, customize search.yml. The default melting-cobalt Search Examples below.

Run:

python melting-cobalt.py

Search IP list

populate ips.txt with potential Cobalt Strike C2 IPs a new line delimeted, example:

1.1.1.1
2.2.2.2
3.3.3.3

Run:

python melting-cobalt.py -i ips.txt

If you need inspiration from hunters we highly recommend:

Usage

usage: melting-cobalt.py [-h] [-c CONFIG] [-o OUTPUT] [-v] [-i INPUT]

scans for open cobalt strike team servers and grabs their beacon configs and write this as a json log to be analyzed by any analytic tools
like splunk, elastic, etc..

optional arguments:
  -h, --help            show this help message and exit
  -c CONFIG, --config CONFIG
                        config file path
  -o OUTPUT, --output OUTPUT
                        file to write to the results, defaults to results.json.log
  -v, --version         shows current melting-cobalt version
  -i INPUT, --input INPUT
                        newline delimeted file of cobalt strike server ips to grab beacon configs from. example ips.txt

Search Examples

The following searches are provided out of the box and more may be added to search.yml for more data.

Shodan

Find specific JARM signatures, out of the box we track Cobalt Strike 4.x

'ssl.jarm:07d14d16d21d21d07c42d41d00041d24a458a375eef0c576d23a7bab9a9fb1'

Filter by HTTP headers and ports to reduce noisy results

'ssl.jarm:07d14d16d21d21d07c42d41d00041d24a458a375eef0c576d23a7bab9a9fb1 port:"22, 80, 443, 444, 1234, 2000, 2222, 3000, 3780, 4000, 4443, 6379, 7443, 8443, 8080, 8081, 8082, 8087, 8088, 8099, 8089, 8090, 8181, 8888, 8889, 9443, 50050" HTTP/1.1 404 Not Found Content-Length: 0'

Team server detected by Shodan

'product:"cobalt strike team server"'

note: will generate lots of noisy results, do not actually schedule this unless you want to burn your license credits.

Team server certificate serial

'ssl.cert.serial:146473198'

SecurityTrails

Find specific JARM signatures

'SELECT address, ports.port FROM ips WHERE jarm = "07d14d16d21d21d07c42d41d00041d24a458a375eef0c576d23a7bab9a9fb1"'

Filter by HTTP Headers and ports to reduce noisy nmap_results

'SELECT address, ports.port, isp.name_normalized, ports.port, address, asn.number, jarm, http.headers.raw FROM ips WHERE jarm = "07d14d16d21d21d07c42d41d00041d24a458a375eef0c576d23a7bab9a9fb1" OR jarm = "07d14d16d21d21d07c07d14d07d21d9b2f5869a6985368a9dec764186a9175" OR jarm = "2ad2ad16d2ad2ad22c42d42d00042d58c7162162b6a603d3d90a2b76865b53" AND http.headers.content_type = "text/plain" AND http.headers.raw = "content-length:0" AND ports.port IN (22, 80, 443, 444, 1234, 2000, 2222, 3000, 3780, 4000, 4443, 6379, 7443, 8443, 8080, 8081, 8082, 8087, 8088, 8099, 8089, 8090, 8181, 8888, 8889, 9443, 50050)'

Author

Support 📞

Please use the GitHub issue tracker to submit bugs or request features.

If you have questions or need support, you can:

Credits & References

Inspiration came from a handful of blogs: Much of this is only possible because whiskey-7 shared with us grab_beacon_config.nse

TODO

  • add zoomeye
  • Dedup results before nmap
  • add checking the most recent result by looking at the latest_updated field

License

Copyright 2020 Splunk Inc.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Owner
Splunk GitHub
Splunk GitHub
json|dict to python object

Pyonize convert json|dict to python object Setup pip install pyonize Examples from pyonize import pyonize

bilal alpaslan 45 Nov 25, 2022
Small python wrapper around the valico rust library to provide fast JSON schema validation.

Small python wrapper around the valico rust library to provide fast JSON schema validation.

Simon J Knibbs 5 Jul 12, 2019
A JSON utility library for Python featuring Django-style queries and mutations.

JSON Enhanced JSON Enhanced implements fast and pythonic queries and mutations for JSON objects. Installation You can install json-enhanced with pip:

Collisio Technologies 4 Aug 22, 2022
cysimdjson - Very fast Python JSON parsing library

Fast JSON parsing library for Python, 7-12 times faster than standard Python JSON parser.

TeskaLabs 235 Dec 29, 2022
simdjson : Parsing gigabytes of JSON per second

JSON is everywhere on the Internet. Servers spend a *lot* of time parsing it. We need a fresh approach. The simdjson library uses commonly available SIMD instructions and microparallel algorithms to

16.3k Dec 29, 2022
simplejson is a simple, fast, extensible JSON encoder/decoder for Python

simplejson simplejson is a simple, fast, complete, correct and extensible JSON http://json.org encoder and decoder for Python 3.3+ with legacy suppo

1.5k Jan 05, 2023
Console to handle object storage using JSON serialization and deserealization.

Console to handle object storage using JSON serialization and deserealization. This is a team project to develop a Python3 console that emulates the AirBnb object management.

Ronald Alexander 3 Dec 03, 2022
Convert your subscriptions csv file into a valid json for Newpipe!

Newpipe-CSV-Fixer Convert your Google subscriptions CSV file into a valid JSON for Newpipe! Thanks to nikcorg for sharing how to convert the CSV into

Juanjo 44 Dec 29, 2022
jq for Python programmers Process JSON and HTML on the command-line with familiar syntax.

jq for Python programmers Process JSON and HTML on the command-line with familiar syntax.

Denis Volk 3 Jan 09, 2022
A fast streaming JSON parser for Python that generates SAX-like events using yajl

json-streamer jsonstreamer provides a SAX-like push parser via the JSONStreamer class and a 'object' parser via the ObjectStreamer class which emits t

Kashif Razzaqui 196 Dec 15, 2022
Fileson - JSON File database tools

Fileson is a set of Python scripts to create JSON file databases

Joonas Pihlajamaa 2 Feb 02, 2022
import json files directly in your python scripts

Install Install from git repository pip install git+https://github.com/zaghaghi/direct-json-import.git Use With the following json in a file named inf

Hamed Zaghaghi 51 Dec 01, 2021
Json GUI for No Man's Sky save file

NMS-Save-Parser Json GUI for No Man's Sky save file GUI python NMS_SAVE_PARSER.py [optional|save.hg] converter only python convert.py usage: conver

2 Oct 19, 2022
Random JSON Key:Pair Json Generator

Random JSON Key:Value Pair Generator This simple script take an engish dictionary of words and and makes random key value pairs. The dictionary has ap

Chris Edwards 1 Oct 14, 2021
Convert Wii UI formats to JSON5 and vice versa

Convert Wii UI formats to JSON5 and vice versa

Pablo Stebler 11 Aug 28, 2022
JSON Schema validation library

jsonschema A JSON Schema validator implementation. It compiles schema into a validation tree to have validation as fast as possible. Supported drafts:

Dmitry Dygalo 309 Jan 01, 2023
Python script to extract news from RSS feeds and save it as json.

Python script to extract news from RSS feeds and save it as json.

Alex Trbznk 14 Dec 22, 2022
A Python tool that parses JSON documents using JsonPath

A Python tool that parses JSON documents using JsonPath

8 Dec 18, 2022
Define your JSON schema as Python dataclasses

Define your JSON schema as Python dataclasses

62 Sep 20, 2022
Ibmi-json-beautify - Beautify json string with python

Ibmi-json-beautify - Beautify json string with python

Jefferson Vaughn 3 Feb 02, 2022