Model Card for Model ID
Model Name: AI-URL-Expander
Model Details
Model Description
AI-URL-Expander is a machine learning model designed to analyze and expand shortened URLs, revealing the original destination and evaluating potential risks such as phishing, scams, and malicious content. This model empowers developers and security analysts to protect users by identifying unsafe links before they are clicked.
The model integrates seamlessly into security tools, browser extensions, and link management platforms, enhancing URL transparency and safety.
Features:
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URL Parsing and Expansion: Resolve short links to their original destinations.
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Metadata Analysis: Extract information such as page titles, descriptions, and keywords for contextual insights.
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Threat Detection: Evaluate links for potential phishing, malware, and scam indicators.
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AI-Powered Risk Scoring: Generate a risk score for each expanded URL based on a combination of metadata and contextual analysis.
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Developed by: LinksGPT Team
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License: MIT
Model Sources
- Repository: [More Information Needed]
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
Uses
Direct Use
Use Cases:
- URL Expansion: Uncover the original URL from a shortened link.
- Risk Analysis: Detect malicious or risky destinations, including phishing, malware, and scams.
- Security Integration: Incorporate into browser extensions, enterprise security solutions, or link management platforms.
How to Use:
- Input the shortened URL into the model.
- Receive the expanded URL and metadata.
- Analyze the risk score and classification to determine the link’s safety.
1from transformers import pipeline
2
3# Load model
4model = pipeline("text-classification", model="huggingface/ai-url-expander")
5
6# Input shortened URL
7short_url = "https://bit.ly/3example"
8
9# Analyze and expand
10results = model(f"Expand and analyze: {short_url}")
11print(results)
Bias, Risks, and Limitations
Limitations:
- Dynamic Content: Links with dynamically generated content may not always produce consistent results.
- False Positives/Negatives: Risk scoring may occasionally misclassify benign or malicious links.
- Real-Time Dependency: Requires internet access for URL expansion and metadata retrieval.
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
Training Details
Training Data
The model was trained on a diverse dataset of shortened and expanded URLs, including:
- Known safe and malicious links.
- Webpage metadata, content, and classifications.
- Reports on phishing and scam indicators.
The dataset includes contributions from public and proprietary threat intelligence sources, ensuring up-to-date risk evaluation.
Evaluation
Testing Data, Factors & Metrics
Testing Data
[More Information Needed]
Factors
[More Information Needed]
Metrics
The model is evaluated on:
- URL Expansion Accuracy: Ability to resolve shortened URLs to their original destinations.
- Risk Classification: Precision and recall in identifying malicious links.
- User Protection: Reduction in the number of risky links accessed by users.
Results
[More Information Needed]
Summary
Model Examination [optional]
[More Information Needed]
Technical Specifications
Model Architecture and Objective
The model combines:
- URL Resolution Layer: Uses network calls to expand short URLs and retrieve metadata.
- Natural Language Processing (NLP): Analyzes webpage content, titles, and descriptions for potential threats.
- Threat Classification Module: Employs a fine-tuned transformer model to detect risk patterns based on link behavior and content.
Compute Infrastructure
[More Information Needed]
Hardware
[More Information Needed]
Software
[More Information Needed]
Citation [optional]
More About URL Expander
URL Expander can reveal the final destination of any URL, including shortened links. It allows users to see the original or expanded URL that is hidden behind a link.
More About LinksGPT
LinksGPT is a professional link management platform for custom short urls, brand building and conversion optimization. It offers intelligent URL shortening and expansion, custom domains, team roles, customizable QR codes, tracking and AI-based in-depth analytics, deep linking, openAPI and enhanced link security. Powered by AI, it provides intelligent insights and recommendations based on user behavior and click patterns, support data-driven brand strategies and marketing decisions.
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