Connecting to a public WiFi network can be a risky endeavor, as we never know if it’s safe or if our data is being compromised. However, there’s good news for those concerned about their online security. A team of security experts has developed a new tool called Snappy, which allows users to identify dangerous networks and protect themselves from potential threats.
The brainchild of security researcher and specialist Tom Neaves, Snappy has been specifically designed with non-tech-savvy users in mind. Recognizing the need for a simple yet effective solution, Neaves has created a tool that empowers users to avoid potential problems when connecting to WiFi networks. Since its launch, Snappy has gained considerable popularity and positive feedback from users.
With Snappy at your disposal, you can make informed decisions about which networks to connect to, ensuring your online safety and peace of mind. Say goodbye to the uncertainties and risks associated with public WiFi, and embrace a safer browsing experience with Snappy.
WiFi network problems
In his published journal, Neaves highlights the insufficient analysis of free WiFi hotspots as a significant concern. Users often connect to familiar WiFi networks without realizing that they may be connecting to malicious duplicates. This is a potential threat that hackers can exploit by creating fake WiFi access points with identical names or even copying the MAC address of the legitimate network.
Neaves aimed to address this problem and provide users with a solution to identify and avoid these deceptive networks. His tool, Snappy, plays a crucial role in detecting these fraudulent WiFi connections and empowering users to make informed decisions about their network connections. By alerting users to potential risks, Snappy helps prevent unsuspecting individuals from falling victim to malicious activities carried out through fake WiFi access points.
With Snappy in hand, users can safeguard their online security by ensuring they connect to legitimate and secure WiFi networks, minimizing the risks associated with fraudulent duplicates. Neaves’ work serves as a valuable contribution to the field of network security and offers users a reliable tool to combat the growing threat of fake WiFi networks.
Snappy is the solution
After identifying the security problem, Neaves set out to develop a solution that could alert users when they were connecting to a different network than before. Additionally, he recognized the need to detect the use of airbase-ng, a commonly used tool by hackers to create fake access points.
To create a unique “signature” for each access point, Neaves searched for static data that would remain consistent. After evaluating various parameters, he concluded that using data such as BSSID, maximum power transmission rate, Max_A_MSDU, channel, and country would be the most effective. Based on this data, he established a rule in his tool, Snappy, to trust access points that matched the signature, while suspecting and advising against using access points with altered data.
With the concept in place, Neaves developed the tool using Python and named it snap.py, commonly known as Snappy. The tool is available on GitHub, providing users with access to its functionality and allowing them to contribute to its further development.
To use Snappy, users can follow the instructions provided on the GitHub repository, ensuring they have the necessary dependencies installed. By running the program, users can leverage Snappy’s capabilities to identify potentially fraudulent networks and make informed decisions about their WiFi connections, enhancing their overall online security.
How to use Snappy?
In order to use Snappy, it is important to note that it requires the use of Python, making it a slightly more involved process than simply downloading a mobile app. You will need to download the tool from the GitHub repository and run it on a computer with Python installed, or through specialized applications on mobile devices. For Android users, it is recommended to download Pydroid 3, while iOS users have alternatives like Pythonista 3 available.
Once you have downloaded the tool and followed the link provided earlier, you can start using Snappy to analyze networks. The concept behind Snappy is to take a snapshot of the networks you connect to, and then compare it to the current state of the access point when you return. The system will inform you whether it is the same connection or not, allowing you to make an informed decision on whether to connect or not. Snappy also detects fake and dangerous networks, providing code hints to identify networks based on airbase-ng.
It is worth mentioning that Snappy can be used both online and offline, so you don’t have to worry if you are low on data or unable to connect to the internet. Its purpose is to help you determine the trustworthiness of available WiFi networks. However, if you find the use of this tool complex due to the reliance on Python, it is possible that future plans may involve developing a more user-friendly application.
We will have to wait and see what plans Tom Neaves has in store. One thing is certain, though: Snappy can be a highly useful tool to ensure the safety of WiFi networks in hotels, shops, shopping centers, or restaurants.