Device Fingerprinter v1 Submission Guide (Active after September [x]th 2025 10:00 UTC)
Overview
Device Fingerprinter v1 tests miners' ability to develop a browser SDK that can accurately detect the driver type used by bots interacting with a webpage.
Miners must create a JavaScript fingerprinter that can distinguish between different devices through device fingerprinting techniques, analyzing browser properties, behavior patterns, and technical signatures.
Example Code and Submission Instructions
Example codes for the Device Fingerprinter v1 can be found in the redteam_core/miner/commits/dev_fingerprinter_v1/
directory.
Technical Requirements
- JavaScript (ES6+)
- Ubuntu 24.04
- Docker container support
Core Requirements
- Use our template from
redteam_core/miner/commits/dev_fingerprinter_v1/src/fingerprinter/fingerprinter.js
- Keep the
runFingerprinting()
function signature and export unchanged - Your fingerprinter must:
- Collect device and browser fingerprint data
- Generate a unique fingerprint hash
- Send results to the designated endpoint
- Complete without errors
Key Guidelines
- Detection Accuracy: Your fingerprinter must accurately identify different devices and provide consistent hash values for the same device across multiple runs.
- Fingerprint Collection:
- Collect comprehensive browser and device properties
- Analyze WebDriver signatures and automation artifacts
- Data Processing:
- Generate unique, consistent fingerprint hashes
- Process collected data efficiently
- API Integration:
- Follow the provided API endpoint structure
- Send properly formatted JSON payloads
- Handle errors gracefully
- Technical Setup:
- Use modern JavaScript (ES6+) features
- List dependencies in
requirements.txt
- Use amd64 architecture
- Limitations
- Your script must not exceed 2,000 lines. If it does, it will be considered invalid, and you will receive a score of zero.
- Your dependencies must be older than January 1, 2025. Any package released on or after this date will not be accepted, and your script will not be processed.
Plagiarism Check
We maintain strict originality standards:
- All submissions are compared against other miners' scripts
- 100% similarity = zero score
- Similarity above 60% will result in proportional score penalties based on the detected similarity percentage.
- Note: Comparisons are only made against other miners submissions, not your own previous challenge entries.
Submission Guide
Follow 1~6 steps to submit your script.
-
Navigate to the Device Fingerprinter v1 Commit Directory
-
Build the Docker Image
To build the Docker image for the Device Fingerprinter v1 submission, run:
-
Log in to Docker
Log in to your Docker Hub account using the following command:
Enter your Docker Hub credentials when prompted.
-
Push the Docker Image
Push the tagged image to your Docker Hub repository:
-
Retrieve the SHA256 Digest
After pushing the image, retrieve the digest by running:
-
Update active_commit.yaml
Finally, go to the
neurons/miner/active_commit.yaml
file and update it with the new image tag:
📑 References
- Docker - https://docs.docker.com