Top Related Projects
Quick Overview
Malice is an open-source malware analysis framework designed to be more modular, scalable, and easier to use than existing solutions. It aims to automate the process of analyzing malware samples by leveraging Docker containers and providing a unified interface for various analysis tools.
Pros
- Modular architecture allows for easy integration of new analysis tools
- Scalable design supports distributed processing of large sample sets
- Docker-based approach ensures consistent and isolated execution environments
- Provides a unified API for accessing results from multiple analysis tools
Cons
- Project appears to be inactive, with the last commit dating back to 2019
- Limited documentation and community support due to inactivity
- May require significant effort to update and maintain given its age
- Some dependencies and tools used in the project might be outdated
Getting Started
To get started with Malice, follow these steps:
- Install Docker on your system
- Clone the Malice repository:
git clone https://github.com/maliceio/malice.git - Build the Malice Docker image:
cd malice docker build -t malice . - Run Malice:
docker run --rm -it malice --help
Note: Due to the project's inactivity, you may encounter issues with dependencies or compatibility. It's recommended to thoroughly test and potentially update components before using Malice in a production environment.
Competitor Comparisons
MISP (core software) - Open Source Threat Intelligence and Sharing Platform
Pros of MISP
- More comprehensive threat intelligence platform with extensive sharing capabilities
- Larger and more active community, with regular updates and contributions
- Supports a wide range of integrations and export formats
Cons of MISP
- Steeper learning curve and more complex setup process
- Requires more resources to run and maintain effectively
- Can be overwhelming for smaller organizations or individual users
Code Comparison
MISP (PHP):
public function add() {
if ($this->request->is('post')) {
$this->Tag->create();
if ($this->Tag->save($this->request->data)) {
$this->Flash->success(__('The tag has been saved.'));
return $this->redirect(array('action' => 'index'));
}
$this->Flash->error(__('The tag could not be saved. Please, try again.'));
}
}
Malice (Go):
func ScanSample(ctx context.Context, path string) (*types.Result, error) {
sample, err := file.NewFile(path)
if err != nil {
return nil, err
}
defer sample.Close()
return engine.ScanSample(ctx, sample)
}
The code snippets showcase different aspects of each project. MISP's code focuses on web application functionality, while Malice's code demonstrates its file scanning capabilities.
Cuckoo Sandbox is an automated dynamic malware analysis system
Pros of Cuckoo
- More mature and widely adopted project with a larger community
- Extensive documentation and user guides available
- Supports a wider range of file types and analysis techniques
Cons of Cuckoo
- Requires more complex setup and infrastructure
- Can be resource-intensive, especially for large-scale deployments
- Less focus on containerization and modern deployment methods
Code Comparison
Cuckoo (Python):
class CuckooAnalysis:
def __init__(self, target):
self.target = target
def run(self):
# Perform analysis
results = analyze_sample(self.target)
return results
Malice (Go):
type MaliceAnalysis struct {
Target string
}
func (m *MaliceAnalysis) Run() (Results, error) {
// Perform analysis
results, err := analyzeSample(m.Target)
return results, err
}
Both projects aim to provide automated malware analysis, but they differ in their implementation and focus. Cuckoo is a more established project with a broader feature set, while Malice emphasizes containerization and ease of deployment. Cuckoo is written in Python, which may be more familiar to some users, while Malice uses Go, potentially offering better performance in certain scenarios. The code snippets demonstrate the basic structure of how each project might handle an analysis task, with Cuckoo using a class-based approach and Malice utilizing Go's struct methods.
TheHive: a Scalable, Open Source and Free Security Incident Response Platform
Pros of TheHive
- More active development with frequent updates and releases
- Comprehensive incident response platform with case management features
- Integrates well with other security tools like MISP and Cortex
Cons of TheHive
- Steeper learning curve due to its extensive features
- Requires more system resources for deployment and operation
Code Comparison
TheHive (Scala):
def create(request: Request[AnyContent]): Action[AnyContent] = entrypoint("create case") {
implicit req => implicit graph =>
val fields = req.body.asJson.getOrElse(JsObject.empty)
caseCtrl.create(fields).map { caze =>
renderer.toOutput(caze)
}
}
Malice (Go):
func ScanFileHandler(w http.ResponseWriter, r *http.Request) {
var err error
file, header, err := r.FormFile("malware")
if err != nil {
log.Error(err)
http.Error(w, err.Error(), 500)
return
}
defer file.Close()
}
TheHive offers a more comprehensive incident response platform with case management features, while Malice focuses on malware scanning and analysis. TheHive has more active development but requires more resources and has a steeper learning curve. Malice is simpler to use but has fewer features. The code snippets show TheHive's use of Scala for request handling and case creation, while Malice uses Go for file handling in its scanning functionality.
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malice
Malice's mission is to be a free open source version of VirusTotal that anyone can use at any scale from an independent researcher to a fortune 500 company.
Try It Out
DEMO: demo.malice.io
- username:
malice - password:
ecilam
Requirements
Hardware
- ~16GB disk space
- ~4GB RAM
Software
Getting Started (OSX)
Install
$ brew install maliceio/tap/malice
Usage: malice [OPTIONS] COMMAND [arg...]
Open Source Malware Analysis Framework
Version: 0.3.11
Author:
blacktop - <https://github.com/blacktop>
Options:
--debug, -D Enable debug mode [$MALICE_DEBUG]
--help, -h show help
--version, -v print the version
Commands:
scan Scan a file
watch Watch a folder
lookup Look up a file hash
elk Start an ELK docker container
plugin List, Install or Remove Plugins
help Shows a list of commands or help for one command
Run 'malice COMMAND --help' for more information on a command.
Scan some malware
$ malice scan evil.malware
NOTE: On the first run malice will download all of it's default plugins which can take a while to complete.
Malice will output the results as a markdown table that can be piped or copied into a results.md that will look great on Github see here
Start Malice's Web UI
$ malice elk
You can open the Kibana UI and look at the scan results here: http://localhost (assuming you are using Docker for Mac)
-
Type in malice as the
Index name or patternand click Create. -
Now click on the
Malice Taband behold!!!
Getting Started (Docker in Docker)
Install/Update all Plugins
docker run --rm -v /var/run/docker.sock:/var/run/docker.sock malice/engine plugin update --all
Scan a file
docker run --rm -v /var/run/docker.sock:/var/run/docker.sock \
-v `pwd`:/malice/samples \
--network="host" \
-e MALICE_VT_API=$MALICE_VT_API \
malice/engine scan SAMPLE
Documentation
Known Issues :warning:
If you are having issues with malice connecting/writting to elasticsearch please see the following:
I have noticed when running the new 5.0+ version of malice/elasticsearch on a linux host you need to increase the memory map areas with the following command
sudo sysctl -w vm.max_map_count=262144
Elasticsearch requires a LOT of RAM to run smoothly. You can lower it to 2GB by running the following (before running a scan):
$ docker run -d \
-p 9200:9200 \
--name malice-elastic \
-e ES_JAVA_OPTS="-Xms2g -Xmx2g" \
malice/elasticsearch
See here for more details on Known Issues/FAQs :warning:
Issues
Find a bug? Want more features? Find something missing in the documentation? Let me know! Please don't hesitate to file an issue
CHANGELOG
See CHANGELOG.md
License
Apache License (Version 2.0)
Copyright (c) 2013 - 2018 blacktop
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