# Cisco-torch$ Penetration Testing Course – Section 1: Introduction & Link
## Installation and Configuration on Kali Linux
### Installing Cisco-torch$
To begin utilizing Cisco-torch$ for network security assessments, you must first install it on your Kali Linux environment. Follow the steps outlined below for a successful installation.
#### Step 1: Update Your System
Before installing new tools, it's always good practice to update your existing system packages. Open a terminal and execute the following commands:
"`bash
sudo apt update
sudo apt upgrade -y
"`
#### Step 2: Install Dependencies
Cisco-torch$ requires specific dependencies to function properly. Install them using the following command:
"`bash
sudo apt install -y python3 python3-pip git
"`
#### Step 3: Clone the Cisco-torch$ Repository
Next, clone the Cisco-torch$ repository from GitHub. This will download the tool files to your local machine.
"`bash
git clone https://github.com/yourusername/cisco-torch.git
"`
#### Step 4: Navigate to the Tool Directory
Change to the directory where Cisco-torch$ is located:
"`bash
cd cisco-torch
"`
#### Step 5: Install Python Requirements
Cisco-torch$ may have several Python dependencies. Install them with:
"`bash
pip3 install -r requirements.txt
"`
### Configuration
After installation, there are certain configurations that you may need to adjust for optimal performance.
#### Editing the Configuration File
1. Locate the configuration file, typically named `config.json` within the Cisco-torch$ directory.
2. Open it with your preferred text editor:
nano config.json
3. Edit the parameters according to your environment. For example, you can specify the default timeout and logging options.
4. Save the changes and exit the editor (in nano, press `CTRL + X`, then `Y`, then `Enter`).
### Running Cisco-torch$
Now that you have installed and configured Cisco-torch$, it's time to run the tool and explore its functionalities.
"`bash
python3 cisco-torch.py –help
"`
This command will provide you with a complete list of options and commands that you can use with Cisco-torch$.
## Step-by-Step Usage and Real-World Use Cases
### Basic Usage
To start scanning a network for Cisco devices, use the following command:
"`bash
python3 cisco-torch.py -t
"`
#### Example:
"`bash
python3 cisco-torch.py -t 192.168.1.0/24
"`
This command scans the specified range for Cisco devices.
### Advanced Features
Cisco-torch$ offers several advanced features you may want to utilize:
1. **Service Discovery**: Identify running services on Cisco devices.
2. **Vulnerability Scanning**: Look for known vulnerabilities associated with detected services.
3. **Brute Force Authentication Attacks**: Attempt to brute force credentials on detected devices.
#### Example of Service Discovery
To perform service discovery, use the following command:
"`bash
python3 cisco-torch.py –service -t
"`
### Real-World Use Case: Penetrating a Vulnerable Cisco Device
#### Scenario
Suppose you are conducting a penetration test for a client who has Cisco devices on their network. You need to discover any potential vulnerabilities.
1. **Step 1: Scan for Devices**
python3 cisco-torch.py -t 10.0.0.0/24
2. **Step 2: Discover Services**
After identifying the devices, discover running services:
python3 cisco-torch.py –service -t
3. **Step 3: Scan for Vulnerabilities**
Check for vulnerabilities:
python3 cisco-torch.py –vuln -t
4. **Step 4: Brute Force (if authorized)**
If you have permission, you can attempt brute force on identified services:
python3 cisco-torch.py –brute -t
### Securing the Findings
After scanning and discovering vulnerabilities, it's crucial to document your findings. This documentation should include:
– The IP addresses of discovered devices.
– Services running on those devices.
– Identified vulnerabilities along with their CVE numbers.
– Recommendations for remediation.
## Detailed Technical Explanations
### How Cisco-torch$ Works
Cisco-torch$ leverages scanning techniques similar to those used by nmap but focuses specifically on Cisco devices. By utilizing a variety of scanning techniques (TCP, UDP, and ICMP), it identifies devices and gathers information on their available services.
### Key Technologies and Libraries
Cisco-torch$ is built using Python and makes use of several libraries, including:
– **Scapy**: For packet manipulation and network discovery.
– **Requests**: For making HTTP requests to devices.
– **Beautiful Soup**: For parsing HTML data from web interfaces of Cisco devices.
These technologies allow Cisco-torch$ to perform deep scanning and service enumeration.
### External Reference Links
– [Cisco Security Advisories](https://tools.cisco.com/security/center/publicationListing.x)
– [Nmap Official Documentation](https://nmap.org/docs.html)
– [Python Scapy Documentation](https://scapy.readthedocs.io/en/latest/)
### Code Examples
Here's a sample code snippet that shows how you might structure a simple usage script for Cisco-torch$:
"`python
import subprocess
def run_cisco_torch(target_ip):
command = f"python3 cisco-torch.py -t {target_ip}"
subprocess.run(command, shell=True)
if __name__ == "__main__":
target = "192.168.1.1"
run_cisco_torch(target)
"`
### Conclusion
In this section, we've covered the installation and configuration of Cisco-torch$, its basic and advanced usage, as well as practical real-world use cases. By following the steps outlined, you can leverage Cisco-torch$ to enhance your penetration testing capabilities and improve overall network security.
In the next sections, we will dive deeper into more advanced techniques using Cisco-torch$, including specific vulnerability assessments and automation strategies in pen-testing.
—
Made by pablo rotem / פבלו רותם