The Cyber Helpline: Data Analysis Dashboard
Top 20 LLM Attack Types

Total Records

Unique Attack Types

Attack Types Over Time (Weekly)
Weekly Attack Distribution Heatmap

Total Weeks

Peak Week

Most Consistent Attack

Most Variable Attack

Attack Distribution by Country

Countries Affected

Top Country

Top Country Count

Top 10 Platforms Overall
Platform Usage by Top Attack Types
Top Platforms for Selected Attack Type

Total Unique Platforms

Most Common Platform

Avg Platforms per Case

Most Platform-Heavy Attack

Domain Information
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Domain Data Not Publicly Available

We collect and analyse domain information as part of our case data. However, this information is not displayed publicly as it may contain malicious domain addresses that could pose a risk if shared openly.

This data is available upon request and review.

To request access to domain data, please contact us at:

contact@thecyberhelpline.com

📝 Note: The plots in this tab exclude cases where the victim–perpetrator relationship is recorded as unknown or stranger. This is to highlight the distribution of known relationships. For some attack types, such as Sextortion, the most frequent relationship category is unknown or stranger.

Cases with Identified Relationship

Cases with Unknown/Stranger

Identified Relationship %

Unknown/Stranger %

Top 10 VP Relationships Overall
VP Relationships by Top Attack Types
Top VP Relationships for Selected Attack Type

Total Relationship Types

Most Common Relationship

Cases with VP Data

Most Diverse Attack

Reporting Rate by Demographics
Reporting Rate by Attack Type
Police Reporting by Country (Top 10)

Overall Reporting Rate

Total Reported

Total Not Reported

Highest Reporting Demo

📊 Dataset Information

Methodology

  • All case descriptions were taken from The Cyber Helpline chatbot data
  • Data collection with demographics began in March 2023
  • Cases were cleaned to remove duplicates, incomplete records, or spam messages
  • Classifications were made using a bespoke large language model (LLM) prompt
  • Currently, the model used is ChatGPT 4.1
  • Personally identifiable information (PII) was removed with a dedicated Python library before LLM processing
  • The dataset is updated on a monthly basis to include new cases
Dataset Statistics
Data Quality Metrics

Total Cases

Date Range

Data Completeness

Countries Represented