Fingerprint Browser

Otto Agile Browser: Powerful chromium-based fingerprint browser

OAB is based on a Chromium engine with added browser fingerprint management capabilities. Unlike Chrome, OAB doesn't send user information to Google, making it a perfect browser for running Google accounts without exposing our real parameters. OAB is dedicated to online privacy but does a better job with added browser fingerprint management capabilities. OAB can create virtual browser profiles that each appear to be genuine and separate devices with unique fingerprints. Any repetitive task can be automated in Ottodrops through a selection of Local APIs from ORE and RPA robots.

What is Browser fingerprinting?

A highly accurate browser fingerprint can be generated using several techniques that gather information about the user to distinguish them from millions of others online. Browser fingerprinting, also known as online fingerprinting, is a tracking and identification method that websites use to associate individual browsing sessions with one site visitor. Using JavaScript, a plethora of data can be collected about a user’s web browser and device. When this information is combined, it reveals a unique combination that forms each user’s "digital fingerprint." The browser fingerprint is traceable across browsing sessions, even when the user enters incognito browsing or uses a VPN to access a site.

Browser fingerprinting is one way to stop fraudsters from attempting to hack or spam website owners by accurately identifying site users. Browser fingerprinting is more difficult to circumvent than cookies, as a user’s fingerprint does not change between incognito browsing sessions or clearing browser data. A browser fingerprinting script must use various data (called signals) gathering techniques, which vary between visitors, to generate an accurate enough (called entropy) fingerprint for each distinct web visitor. For example, while many visitors to a website may have the same model of iPhone, the software and drivers installed, geolocation, browser and OS version, and even minute variances in the hardware could be different. Each browser fingerprinting technique can gather one or more of these signals that aim to identify these minor variances between users.

What information is gathered?

Browser fingerprinting can gather a lot of information from a browser: the user’s device model, its operating system, its browser version, user timezone, preferred language settings, ad blocker used, screen resolution, and all the granular tech specs of his CPU, graphics card, and so on.

Browser fingerprinting technology can capture more than enough specifics about a user’s device and settings to pinpoint them in a sea of internet users. Fingerprint’s technology employs several cutting-edge browser identification methods to gather over 100 individual signals. These signals are combined with server-side analysis and deduplication to generate a visitor, providing a persistent and valuable abstraction of a browser fingerprint, which can be volatile if a user changes settings or updates software on their device

Understanding Fingerprinting Browser

A fingerprinting browser refers to a browser that utilizes various techniques to create a unique identifier or "fingerprint" for each user. This fingerprint consists of a combination of device, browser, and network characteristics that can be used to distinguish one user from another. In the context of automated airdrop farming, fingerprinting browsers play a crucial role in maximizing airdrop rewards and minimizing the risk of disqualification.

Browser Fingerprinting Techniques

Canvas Fingerprinting

This browser fingerprinting technique uses the HTML5 canvas element to identify variances in a user’s GPU, graphics drivers, or graphics card. First, the script draws an image, often overlaid with text. Then, the script captures how the user’s web browser has rendered the image and text. Naturally, every device with different hardware and drivers will render the image slightly differently, distorting its color and shape. A hash is then computed using the rendered image’s data, which serves as the ‘canvas fingerprint.’

Like any other browser fingerprinting technique, the scripts used for canvas fingerprinting operate in the background to keep the user from realizing that the fingerprinting is occurring. This fingerprinting technique is accurate and not too processing-intensive making it one of the most employed script techniques.

WebGL Fingerprinting

WebGL fingerprinting is very similar to Canvas fingerprinting as they both use the browser to render images off-screen. These images distinguish users based on their graphics drivers and device hardware.

Media Device Fingerprinting

This technique uncovers a list of all the connected media devices and their respective IDs on a user’s laptop or PC. This includes all internal media components like video cards, and audio cards, and all connected or linked devices like headphones.

Media device fingerprinting is not widely used in fingerprinting functions. This is because it requires the user to grant access to their microphone and camera to get a complete list of connected devices. This technique is helpful for services that innately require a webcam or microphone access, such as video chat services.

Audio Fingerprinting

While other fingerprinting techniques force browsers to render a text or image, this technique checks how their devices play sound. The browser vendor and version used impact minute differences in sound waves generated by a digital oscillator and differences in CPU architecture.

Putting it all together

Multiple fingerprinting techniques need to be used with each other to generate a sufficiently accurate fingerprint for user identification. Each method generates one or more signals, collectively combined into a visitor hash that serves as an individual identifier.

Fingerprinting and Online Fraud Detection

When dealing with fraud, it is important to note that only a small number of site visitors are responsible for fraudulent activities. Therefore, your development team should find a way to isolate these users, identify them, verify their authentication, and add them to your site's block list. However, it is important to keep these security measures away from trusted traffic, as additional authentication steps can lead to a poor user experience. Additionally, stricter site security can slow down account accessibility, purchase-making, and overall site engagement.

Browser fingerprinting techniques are useful for identifying visitors with a pattern of fraudulent behavior and targeting only these visitors for additional security. Fraudsters often use identity-concealing techniques such as disabling cookies, using VPNs, or using incognito mode in their browsers.

Key Features and Functionality of Otto Agile Browser (OAB):

OAB offers a range of features and functionality tailored to the needs of automated airdrop farming. Here are some key aspects of OAB:

a. Fingerprint Customization:

OAB allows users to customize their browser fingerprints to simulate unique user profiles. This includes modifying browser configurations, user agent strings, language settings, screen resolutions, and other relevant parameters to create diverse and realistic fingerprints.

b. IP Rotation and Proxy Integration:

OAB supports IP rotation and proxy integration to enhance anonymity and circumvent IP-based restrictions. This feature enables users to automate the process of rotating IP addresses, ensuring a higher level of privacy and reducing the risk of detection.

c. User-Agent Spoofing:

OAB enables users to spoof user agent strings, mimicking various browser versions, operating systems, and device types. This helps in emulating different user profiles and further enhancing the uniqueness of browser fingerprints.

d. Cookie Management:

OAB provides robust cookie management capabilities, allowing users to clear cookies, manage session storage, and handle other aspects of browser data to maintain privacy and avoid detection.

e. JavaScript Customization:

OAB allows users to customize JavaScript execution within the browser, including the ability to selectively enable or disable certain JavaScript features. This flexibility helps in mimicking user behavior and reducing the risk of automated detection.

f. Browser Automation:

OAB supports browser automation through scripting and integration with automation frameworks. This enables the execution of complex airdrop farming tasks, such as form filling, page interactions, and data extraction, enhancing the efficiency and effectiveness of airdrop campaigns.

Benefits of Otto Agile Browser (OAB) in Airdrop Farming:

• Enhanced Privacy and Security: OAB's fingerprinting capabilities help maintain user anonymity and protect against detection, ensuring a higher level of privacy and security in airdrop farming activities.

• Improved Airdrop Eligibility: By customizing browser fingerprints, OAB enhances the chances of meeting airdrop campaign requirements and qualifying for airdrop rewards.

• Increased Efficiency: OAB's automation features streamline airdrop farming tasks, reducing manual efforts and saving time while maintaining a high level of precision and accuracy.

• Seamless Integration: Being based on the Chromium Engine, OAB offers seamless integration with existing web technologies and extensions, providing a familiar and robust browsing experience.

Note: This technical document provides an overview of the Otto Agile Browser (OAB) and its functionality. For detailed technical specifications, configuration guidelines, and integration specifics, please refer to the corresponding technical documentation accompanying OAB.