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The Cyber Security Awareness Framework (CSAF) is a structured approach aimed at enhancing Cybersecurity" title="Cybersecurity">cybersecurity awareness and understanding among individuals, organizations, and communities. It provides guidance for the development of effective Cybersecurity" title="Cybersecurity">cybersecurity awareness programs, covering key areas such as assessing awareness needs, creating educational m aterials, conducting training and simulations, implementing communication campaigns, and measuring awareness levels. By adopting this framework, organizations can foster a robust security culture, enhance their ability to detect and respond to cyber threats, and mitigate the risks associated with attacks and security breaches.
Clone the repository
FreshRSS 
git clone https://github.com/csalab-id/csaf.git
Navigate to the project directory
cd csaf
Pull the Docker images
docker-compose --profile=all pull
Generate wazuh ssl certificate
docker-compose -f generate-indexer-certs.yml run --rm generator
For security reason you should set env like this first
export ATTACK_PASS=ChangeMePlease
export DEFENSE_PASS=ChangeMePlease
export MONITOR_PASS=ChangeMePlease
export SPLUNK_PASS=ChangeMePlease
export GOPHISH_PASS=ChangeMePlease
export MAIL_PASS=ChangeMePlease
export PURPLEOPS_PASS=ChangeMePlease
Start all the containers
docker-compose --profile=all up -d
You can run specific profiles for running specific labs with the following profiles - all - attackdefenselab - phisinglab - breachlab - soclab
For example
docker-compose --profile=attackdefenselab up -d
An exposed port can be accessed using a proxy socks5 client, SSH client, or HTTP client. Choose one for the best experience.
This Docker Compose application is released under the MIT License. See the LICENSE file for details.
Espionage is a network packet sniffer that intercepts large amounts of data being passed through an interface. The tool allows users to to run normal and verbose traffic analysis that shows a live feed of traffic, revealing packet direction, protocols, flags, etc. Espionage can also spoof ARP so, all data sent by the target gets redirected through the attacker (MiTM). Espionage supports IPv4, TCP/UDP, ICMP, and HTTP. Espionag e was written in Python 3.8 but it also supports version 3.6. This is the first version of the tool so please contact the developer if you want to help contribute and add more to Espionage. Note: This is not a Scapy wrapper, scapylib only assists with HTTP requests and ARP.
1: git clone https://www.github.com/josh0xA/Espionage.git
2: cd Espionage
3: sudo python3 -m pip install -r requirments.txt
4: sudo python3 espionage.py --help
sudo python3 espionage.py --normal --iface wlan0 -f capture_output.pcapwlan0 with whatever your network interface is.sudo python3 espionage.py --verbose --iface wlan0 -f capture_output.pcapsudo python3 espionage.py --normal --iface wlan0sudo python3 espionage.py --verbose --httpraw --iface wlan0sudo python3 espionage.py --target <target-ip-address> --iface wlan0sudo python3 espionage.py --iface wlan0 --onlyhttpsudo python3 espionage.py --iface wlan0 --onlyhttpsecuresudo python3 espionage.py --iface wlan0 --urlonlyusage: espionage.py [-h] [--version] [-n] [-v] [-url] [-o] [-ohs] [-hr] [-f FILENAME] -i IFACE
[-t TARGET]
optional arguments:
-h, --help show this help message and exit
--version returns the packet sniffers version.
-n, --normal executes a cleaner interception, less sophisticated.
-v, --verbose (recommended) executes a more in-depth packet interception/sniff.
-url, --urlonly only sniffs visited urls using http/https.
-o, --onlyhttp sniffs only tcp/http data, returns urls visited.
-ohs, --onlyhttpsecure
sniffs only https data, (port 443).
-hr, --httpraw displays raw packet data (byte order) recieved or sent on port 80.
(Recommended) arguments for data output (.pcap):
-f FILENAME, --filename FILENAME
name of file to store the output (make extension '.pcap').
(Required) arguments required for execution:
-i IFACE, --iface IFACE
specify network interface (ie. wlan0, eth0, wlan1, etc.)
(ARP Spoofing) required arguments in-order to use the ARP Spoofing utility:
-t TARGET, --target TARGET
A simple medium writeup can be found here:
Click Here For The Official Medium Article
The developer of this program, Josh Schiavone, written the following code for educational and ethical purposes only. The data sniffed/intercepted is not to be used for malicous intent. Josh Schiavone is not responsible or liable for misuse of this penetration testing tool. May God bless you all.
MIT License
Copyright (c) 2024 Josh Schiavone
Free to use IOC feed for various tools/malware. It started out for just C2 tools but has morphed into tracking infostealers and botnets as well. It uses shodan.io/">Shodan searches to collect the IPs. The most recent collection is always stored in data; the IPs are broken down by tool and there is an all.txt.
The feed should update daily. Actively working on making the backend more reliable
Many of the Shodan queries have been sourced from other CTI researchers:
Huge shoutout to them!
Thanks to BertJanCyber for creating the KQL query for ingesting this feed
And finally, thanks to Y_nexro for creating C2Live in order to visualize the data
If you want to host a private version, put your Shodan API key in an environment variable called SHODAN_API_KEY
echo SHODAN_API_KEY=API_KEY >> ~/.bashrc
bash
python3 -m pip install -r requirements.txt
python3 tracker.py
I encourage opening an issue/PR if you know of any additional Shodan searches for identifying adversary infrastructure. I will not set any hard guidelines around what can be submitted, just know, fidelity is paramount (high true/false positive ratio is the focus).
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