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Distributed malware processing framework based on Python, Redis and MinIO.
The idea
Karton is a robust framework for creating flexible and lightweight malware analysis (https://www.kitploit.com/search/label/Malware%20Analysis) backends. It can be used to connect malware* analysis systems into a robust pipeline with very little effort. We've been in the automation (https://www.kitploit.com/search/label/Automation) business for a long time. We're dealing with more and more threats, and we have to automate everything to keep up with incidents. Because of this, we often end up with many scripts stuck together with duck duct tape and WD-40. These scripts are written by analysts in the heat of the moment, fragile and ugly - but they work, and produce intel that must be stored, processed further, sent to other systems or shared with other organisations. We needed a way to take our PoC scripts and easily insert them into our analysis pipeline. We also wanted to monitor their execution, centralise logging, improve robustness, reduce development inertia... For this exact purpose, we created Karton. * while Karton was designed with malware analysis in mind, it works nicely in every microservice-oriented project.
Installation
Installation is as easy as a single pip install command: pip3 install karton-core
In order to setup the whole backend environment you will also need MinIO and Redis, see the docs (https://karton-core.readthedocs.io/en/latest/getting_started.html#installation) for details.
Example usage
To use karton you have to provide class that inherits from Karton. None: # Get sample object packed_sample = task.get_resource('sample') # Log with self.log self.log.info(f"Hi {packed_sample.name}, let me analyze you!") ... # Send our results for further processing or reporting task = Task( { "type": "sample", "kind": "raw" }, payload = { "parent": packed_sample, "sample": Resource(filename, unpacked) }) self.send_task(task) if __name__ == "__main__": # Here comes the main loop GenericUnpacker().loop() ">from karton.core import Karton, Task, Resource

class GenericUnpacker(Karton):
"""
Performs sample unpacking
"""
identity = "karton.generic-unpacker"
filters = [
{
"type": "sample",
"kind": "runnable",
"platform": "win32"
}
]

def process(self, task: Task) -> None:
# Get sample object
packed_sample = task.get_resource('sample')
# Log with self.log
self.log.info(f"Hi {packed_sample.name}, let me analyze you!")
...
# Send our results for further processing or reporting
task = Task(
{
"type": "sample",
"kind": "raw"
}, payload = {
"parent": packed_sample,
"sample": Resource(filename, unpacked)
})
self.send_task(task)< br/>
if __name__ == "__main__":
# Here comes the main loop
GenericUnpacker().loop()
Karton systems
Some Karton systems are universal and useful to everyone. We decided to share them with the community.
karton (https://github.com/CERT-Polska/karton)
This repository. It contains the karton.system service - main service, responsible for dispatching tasks within the system. It also contains the karton.core module, that is used as a library by other systems.
karton-dashboard (https://github.com/CERT-Polska/karton-dashboard)
A small Flask dashboard (https://www.kitploit.com/search/label/Dashboard) for task and queue management (https://www.kitploit.com/search/label/Management) and monitoring.
karton-classifier (https://github.com/CERT-Polska/karton-classifier)

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The "router". It recognises samples/files and produces various task types depending on the file format. Thanks to this, other systems may only listen for tasks with a specific format (for example, only zip archives).
karton-archive-extractor (https://github.com/CERT-Polska/karton-archive-extractor)
Generic archive unpacker. Archives uploaded into the system will be extracted, and every file will be processed individually.
karton-config-extractor (https://github.com/CERT-Polska/karton-config-extractor)
Malware extractor. It uses Yara rules and Python modules to extract static configuration from malware samples (https://www.kitploit.com/search/label/Malware%20Samples) and analyses. It's a fishing rod, not a fish - we don't share the modules themselves. But it's easy to write your own!
karton-mwdb-reporter (https://github.com/CERT-Polska/karton-mwdb-reporter)
A very important part of the pipeline. Reporter submits all files, tags, comments and other intel produced during the analysis to MWDB (https://github.com/CERT-Polska/mwdb-core). If you don't use MWDB yet or just prefer other backends, it's easy to write your own reporter.
karton-yaramatcher (https://github.com/CERT-Polska/karton-yaramatcher)
Automatically runs Yara rules on all files in the pipeline, and tags samples appropriately. Rules not included ;).
karton-asciimagic (https://github.com/CERT-Polska/karton-asciimagic)
Karton system that decodes files encoded with common methods, like hex, base64, etc. (You wouldn't believe how common it is).
karton-autoit-ripper (https://github.com/CERT-Polska/karton-autoit-ripper)
A small wrapper around AutoIt-Ripper (https://github.com/nazywam/AutoIt-Ripper) that extracts embedded AutoIt scripts and resources from compiled AutoIt executables.
DRAKVUF Sandbox (https://github.com/CERT-Polska/drakvuf-sandbox)
Automated black-box malware analysis system with DRAKVUF engine under the hood, which does not require an agent on guest OS. Coming soon:
karton-misp-pusher
A reporter, that submits observed events to MISP. This is how these systems can be used to form a basic malware analysis pipeline:

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GitHub

GitHub - CERT-Polska/karton-archive-extractor: Extractor of various archive formats for Karton framework

Extractor of various archive formats for Karton framework - CERT-Polska/karton-archive-extractor

4 viewsedited 21:36

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4 views21:36

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Download Karton (https://github.com/CERT-Polska/karton)

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GitHub

GitHub - CERT-Polska/karton: Distributed malware processing framework based on Python, Redis and S3.

Distributed malware processing framework based on Python, Redis and S3. - CERT-Polska/karton

5 viewsedited 21:36

Hacking Articles Tips Tricks Videos Tutorials

5 views00:57

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Photo

KitPloit - PenTest Tools!
Karton - Distributed Malware Processing Framework Based On Python, Redis And MinIO

https://1.bp.blogspot.com/-M70yae7UU1M/YRIMOxB0jAI/AAAAAAAApsg/68Huf72xtrY5-zMbnE94Q1zvJrVsc8PZgCNcBGAsYHQ/w640-h248/karton.png Distributed malware processing framework based on Python, Redis and MinIO. The ideaKarton is a robust framework for creating flexible and lightweight malware analysis backends. It can be used to connect malware* analysis systems into a robust pipeline with very little effort.

We've been in the automation business for a long time. We're dealing with more and more threats, and we have to automate everything to keep up with incidents. Because of this, we often end up with many scripts stuck together with duck duct tape and WD-40. These scripts are written by analysts in the heat of the moment, fragile and ugly - but they work, and produce intel that must be stored, processed further, sent to other systems or shared with other organisations.

We needed a way to take our PoC scripts and easily insert them into our analysis pipeline. We also wanted to monitor their execution, centralise logging, improve robustness, reduce development inertia... For this exact purpose, we created Karton.

* while Karton was designed with malware analysis in mind, it works nicely in every microservice-oriented project. InstallationInstallation is as easy as a single pip installcommand: pip3 install karton-core In order to setup the whole backend environment you will also need MinIO and Redis, see the docs for details. Example usageTo use karton you have to provide class that inherits from Karton.

None: # Get sample object packed_sample = task.get_resource('sample') # Log with self.log self.log.info(f"Hi {packed_sample.name}, let me analyze you!") ... # Send our results for further processing or reporting task = Task( { "type": "sample", "kind": "raw" }, payload = { "parent": packed_sample, "sample": Resource(filename, unpacked) }) self.send_task(task) if __name__ == "__main__": # Here comes the main loop GenericUnpacker().loop() ">

from karton.core import Karton, Task, Resource

class GenericUnpacker(Karton):
"""
Performs sample unpacking
"""
identity = "karton.generic-unpacker"
filters = [
{
"type": "sample",
"kind": "runnable",
"platform": "win32"
}
]

def process(self, task: Task) -> None:
# Get sample object
packed_sample = task.get_resource('sample')
# Log with self.log
self.log.info(f"Hi {packed_sample.name}, let me analyze you!")
...
# Send our results for further processing or reporting
task = Task(
{
"type": "sample",
"kind": "raw"
}, payload = {
"parent": packed_sample,
"sample": Resource(filename, unpacked)
})
self.send_task(task)<   br/>
if __name__ == "__main__":
# Here comes the main loop
GenericUnpacker().loop()

Karton systemsSome Karton systems are universal and useful to everyone. We decided to share them with the community. kartonThis repository. It contains the karton.systemservice - main service, responsible for dispatching tasks within the system. It also contains the karton.coremodule, that is used as a library by other systems. karton-dashboardA small Flask dashboard for task and queue management and monitoring. karton-classifierThe "router". It recognises samples/files and produces various task types depending on the file format. Thanks to this, other systems may only listen for tasks with a specific format (for example, only ziparchives). karton-archive-extractorGeneric archive unpacker. Archives uploaded into the system wil[...]

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@hacking_Attack
@Hacking_Video

KitPloit - PenTest & Hacking Tools

Karton - Distributed Malware Processing Framework Based On Python, Redis And MinIO

8 viewsedited 00:57

Hacking Articles Tips Tricks Videos Tutorials

KitPloit - PenTest Tools! Karton - Distributed Malware Processing Framework Based On Python, Redis And MinIO https://1.bp.blogspot.com/-M70yae7UU1M/YRIMOxB0jAI/AAAAAAAApsg/68Huf72xtrY5-zMbnE94Q1zvJrVsc8PZgCNcBGAsYHQ/w640-h248/karton.png Distributed malware…

l be extracted, and every file will be processed individually. karton-config-extractorMalware extractor. It uses Yara rules and Python modules to extract static configuration from malware samples and analyses. It's a fishing rod, not a fish - we don't share the modules themselves. But it's easy to write your own! karton-mwdb-reporterA very important part of the pipeline. Reporter submits all files, tags, comments and other intel produced during the analysis to MWDB. If you don't use MWDB yet or just prefer other backends, it's easy to write your own reporter. karton-yaramatcherAutomatically runs Yara rules on all files in the pipeline, and tags samples appropriately. Rules not included ;). karton-asciimagicKarton system that decodes files encoded with common methods, like hex, base64, etc. (You wouldn't believe how common it is). karton-autoit-ripperA small wrapper around AutoIt-Ripper that extracts embedded AutoIt scripts and resources from compiled AutoIt executables. DRAKVUF SandboxAutomated black-box malware analysis system with DRAKVUF engine under the hood, which does not require an agent on guest OS.

Coming soon: karton-misp-pusherA reporter, that submits observed events to MISP.

This is how these systems can be used to form a basic malware analysis pipeline: https://1.bp.blogspot.com/-M70yae7UU1M/YRIMOxB0jAI/AAAAAAAApsg/68Huf72xtrY5-zMbnE94Q1zvJrVsc8PZgCNcBGAsYHQ/w640-h248/karton.png Download Karton

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11 viewsedited 00:57

Hacking Articles Tips Tricks Videos Tutorials

Deep Web
where to find deep web websites

what can i use to find deepweb websites?

submitted by /u/Clorox_bleach_spray
[link] [comments]

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where to find deep web websites

what can i use to find deepweb websites?

10 viewsedited 01:33

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