Enhancing Selenium Script for Full Undetectability with Unique Fingerprints
Budget: €250 – €750 EUR
Objective: The objective of this project is to make an existing Selenium Python script completely undetectable to advanced detection tools by ensuring each task is executed with a unique and human-like fingerprint. The functionality of the script will remain unchanged, but modifications will focus on rendering it invisible and ensuring no traceable connection between tasks.
Background: We currently have a functional Selenium Python script that performs the following tasks:
1. Account creation on a specific platform.
2. Reading an OTP from supported email providers (Hotmail/Outlook, Gmail, GMX).
3. Entering the OTP back into the platform.
These tasks are performed correctly. However, we need to enhance the script to:
• Mimic human behavior to the highest degree.
• Ensure that each session is unique, with no detectable trace linking tasks.
• Operate with a unique fingerprint for each session to bypass advanced detection mechanisms.
•
Requirements:
1. Fingerprint Randomization:
o Integrate browser fingerprinting tools or libraries to randomize fingerprints (e.g., canvas, WebGL, fonts, plugins, and user agents) for each session.
o Ensure that each fingerprint is unique and cannot be linked to previous sessions.
2. Behavioral Humanization:
o Implement random delays and variations in mouse movements, typing speed, and scrolling.
o Introduce subtle "human-like" errors, such as mistyping and correcting inputs.
o
3. Cookie and Cache Management:
o Clear cookies and cache between sessions to remove residual data.
o Randomize storage settings, including local storage and IndexedDB, for further anonymity.
o
4. Anti-Bot Evasion:
o Integrate tools such as Puppeteer Stealth or Selenium Stealth to bypass bot detection mechanisms.
o Ensure compatibility with the existing script without altering its core functionalities.
5. Session Isolation:
o Use containerized browsing environments (e.g., Docker, Chrome Profiles) to isolate sessions completely.
o Guarantee no shared state between sessions.
Deliverables:
• A modified Selenium Python script with the aforementioned features implemented.
• Documentation detailing changes made to the script and instructions for use.
• Test results demonstrating undetectability and session uniqueness.
Exclusions:
• The functionality of the existing script (account creation, OTP handling, and OTP submission) must remain intact and is not subject to modification.
Acceptance Criteria:
• The script must pass detection tests using advanced bot detection tools.
• Each session must operate with a unique and undetectable fingerprint.
• The core functionalities of the script remain unaltered.
Tools and Resources:
• Selenium Stealth or Puppeteer Stealth or better
• Fingerprint randomization libraries
Background: We currently have a functional Selenium Python script that performs the following tasks:
1. Account creation on a specific platform.
2. Reading an OTP from supported email providers (Hotmail/Outlook, Gmail, GMX).
3. Entering the OTP back into the platform.
These tasks are performed correctly. However, we need to enhance the script to:
• Mimic human behavior to the highest degree.
• Ensure that each session is unique, with no detectable trace linking tasks.
• Operate with a unique fingerprint for each session to bypass advanced detection mechanisms.
•
Requirements:
1. Fingerprint Randomization:
o Integrate browser fingerprinting tools or libraries to randomize fingerprints (e.g., canvas, WebGL, fonts, plugins, and user agents) for each session.
o Ensure that each fingerprint is unique and cannot be linked to previous sessions.
2. Behavioral Humanization:
o Implement random delays and variations in mouse movements, typing speed, and scrolling.
o Introduce subtle "human-like" errors, such as mistyping and correcting inputs.
o
3. Cookie and Cache Management:
o Clear cookies and cache between sessions to remove residual data.
o Randomize storage settings, including local storage and IndexedDB, for further anonymity.
o
4. Anti-Bot Evasion:
o Integrate tools such as Puppeteer Stealth or Selenium Stealth to bypass bot detection mechanisms.
o Ensure compatibility with the existing script without altering its core functionalities.
5. Session Isolation:
o Use containerized browsing environments (e.g., Docker, Chrome Profiles) to isolate sessions completely.
o Guarantee no shared state between sessions.
Deliverables:
• A modified Selenium Python script with the aforementioned features implemented.
• Documentation detailing changes made to the script and instructions for use.
• Test results demonstrating undetectability and session uniqueness.
Exclusions:
• The functionality of the existing script (account creation, OTP handling, and OTP submission) must remain intact and is not subject to modification.
Acceptance Criteria:
• The script must pass detection tests using advanced bot detection tools.
• Each session must operate with a unique and undetectable fingerprint.
• The core functionalities of the script remain unaltered.
Tools and Resources:
• Selenium Stealth or Puppeteer Stealth or better
• Fingerprint randomization libraries