Data Breach Search

Public Breached Search | Public Breaches (140+ Billion Records)

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Overview of the Service

The platform available at dash.niamonx.io/breaches_search is a professional-grade Public Breached Data Search System designed for verifying whether specific personal identifiers have appeared in any known public data leaks across the Internet.
It operates on an aggregated dataset exceeding 140 billion records collected from over 4,500 public breach sources, making it one of the most extensive publicly searchable breach databases in existence.

πŸ” How the Search Works

When a user enters a query β€” such as an email address, username, phone number, IP, or domain β€” the system performs a real-time lookup across its encrypted, indexed data clusters.
The query is normalized, tokenized, and securely matched against hashed or pseudonymized datasets to locate potential breach entries.

The search engine uses multi-vector indexing optimized for text, numeric, and composite keys (e.g., email + password, name + city), allowing flexible combined searches.

To maintain integrity and performance:

You can look up:

The system structures results into logical β€œgroups” that may include:

Sensitive fields like passwords remain masked until explicitly revealed by the user.

πŸ›‘οΈ Security & Ethics

All stored data and query logs are encrypted using modern cryptographic algorithms.
Only aggregated metadata β€” not full confidential strings β€” is retained in request history for transparency and analytics.

Additional safeguards:

The service is intended for ethical use only β€” such as checking whether your credentials or company assets appear in public leaks and taking appropriate security measures (e.g., password changes, MFA setup).

πŸ“Š Extra Features

In summary, NiamonX Breach Search acts as a secure, encrypted intelligence platform that enables professionals and individuals to verify their exposure in public breaches responsibly. It prioritizes data protection, cryptographic integrity, and ethical transparency, providing actionable insights while maintaining user and data privacy.

πŸ“¬ Contact Information

For any inquiries, users can contact the project team directly:

An alternative contact channel is the official Helpdesk:
πŸ”— https://support.niamonx.io/

ULP (Infostealer Logs) | Public Breached ULP Search

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Overview of the Service

The platform available at dash.niamonx.io/ulp_search β€” known as ULP Search β€” is a specialized Data Breach Search Engine developed by NiamonX for identifying credential exposures in public and infostealer leak datasets.
It provides professionals and security researchers with a structured, secure, and ethical way to verify whether specific login credentials have been compromised online.

The ULP database currently indexes over 19 billion credential records, continuously updated and refined through automated pipelines, ensuring freshness, accuracy, and de-duplication.

🧩 What is ULP?

ULP stands for URL Β· LOGIN Β· PASSWORD, representing a credential triple extracted from public or infostealer data sources.

Each record typically contains:

This triplet allows correlation between breached accounts, reused passwords, and compromised domains, forming the foundation of forensic credential analysis within NiamonX’s breach intelligence system.

πŸ” How the Search Works

Users can query the database using any of the following parameters:

The system automatically detects the query type (Auto mode) or allows manual selection for more specific searches.
Searches are conducted in real-time against encrypted datasets, and results are filtered and ranked by confidence and relevance.

Key operational details:

If search performance temporarily decreases, it may indicate active deduplication or dataset reindexing β€” repeating the search after a few minutes ensures access to the freshest possible data.

🧠 Key Features

πŸ›‘οΈ Security, Privacy & Ethics

Every search request is fully encrypted end-to-end, ensuring that user queries and results remain private.
The system never shares, resells, or exposes query data β€” even internally.

Ethical principles:

πŸ“ˆ Technical Highlights

πŸ“¬ Contact Information

For support, inquiries, or privacy-related requests, the NiamonX team can be reached directly via:

Alternative contact channel:
πŸ”— Helpdesk: https://support.niamonx.io/

In summary, NiamonX ULP Search is a cryptographically secure and ethically governed breach intelligence system designed for professional credential analysis.
It provides deep visibility into compromised login data from billions of records β€” while maintaining the highest standards of security, privacy, and responsible use.

PBS v2 (Beta Search) | Public Breached Search V2

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Overview of the Service

The platform available at dash.niamonx.io/breaches_s_v2 β€” known as Public Breached Search V2 β€” is an advanced, security-focused version of the NiamonX breach intelligence engine.
It enables users to safely and privately search for publicly available leaked records (emails, usernames, phone numbers, or hashes) through a fully encrypted channel, using an enhanced privacy-preserving architecture.

This system is designed for individuals, analysts, and cybersecurity teams who need to verify whether specific identifiers have been compromised β€” without exposing their search queries or retrieved data.

πŸ” How the Search Works

When a user submits a query β€” such as an email address, username, phone number, or hash β€” the system performs a real-time lookup across an alternative, minimized index of public breach data.
The search is executed through a closed security network using end-to-end encryption and a master key–based decryption layer. This ensures that:

This approach provides maximum privacy, ensuring that no third party β€” including NiamonX infrastructure β€” can access raw search data or results.

Supported input types:

Unlike the standard Breached Search engine, V2 does not support URLs, domains, or combined queries. It focuses exclusively on personal identifiers and cryptographic hashes to maintain precision and data hygiene.

Passwords found in results are hidden (masked) by default. Users may reveal them manually if needed for verification, but they must not redistribute or publicly display that information.

🧠 Key Features

πŸ›‘οΈ Security, Privacy & Ethics

The service is built with security-first architecture and strict privacy guarantees:

Users are strongly encouraged to practice digital hygiene β€” for example, by changing passwords, enabling MFA, and avoiding credential reuse.

βš™οΈ Technical Highlights

πŸ“¬ Contact Information

For any technical, legal, or privacy-related inquiries, users can reach the NiamonX team directly via:

Alternative contact channel:
πŸ”— Helpdesk: https://support.niamonx.io/

In summary, NiamonX Public Breached Search V2 is a secure, privacy-preserving intelligence system that enables safe and encrypted lookup of breach data.
It prioritizes user confidentiality, cryptographic protection, and ethical operation, ensuring that every search remains private, traceable only to the authorized user, and never exposed beyond their secure session.

Public Breached Search Fast (80+B) | Fast Public Breach Intelligence Search

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The platform available at dash.niamonx.io/breaches_search_fast

Overview of the Service

Public Breached Search Fast (80+B) is a high-speed breach intelligence tool available within the NiamonX platform. It enables users to search across 80+ billion public records collected from publicly available breach datasets and alternative intelligence channels.

The system is designed for individuals, analysts, security researchers, compliance teams, and cybersecurity departments that need to quickly verify whether specific identifiers, accounts, or technical indicators appear in compromised public datasets.

Unlike the encrypted PBS v2 engine, Public Breached Search Fast focuses on speed, broad query coverage, source diversity, graph analysis, and flexible exports. It supports a wide range of identifiers, including emails, usernames, phone numbers, names, domains, IP addresses, vehicle identifiers, social media IDs, and composite queries.

The service is intended strictly for lawful security analysis, personal data verification, incident response, and defensive investigations.

πŸ” How the Search Works

When a user enters a search value, the system performs a fast lookup across a large alternative breach index containing more than 80 billion public records.

The user can either allow the system to automatically detect the query type or manually select a specific type, such as email, phone number, domain, VIN, passport, Telegram, VK, or composite query.

The platform then returns available matches, grouped and structured by source, data type, and related metadata.

Important behavior:

This approach allows the system to prioritize both speed and broad source discovery while keeping sensitive information controlled.

Public Breached Search Fast supports 22 query types with automatic detection.

Supported query types:

The search input supports values from 2 to 500 characters.

Users should enter only the value itself, not a full URL. For example, enter a domain name instead of a full website address.

βš™οΈ Search Interface

The search interface includes the following main fields:

Search Value

The identifier or value to search for.

Examples of supported values:

Query Type

The user may select a specific query type or use Auto-detect.

Auto-detection helps identify the most likely input type and route the search through the correct lookup logic.

Limit

The user can specify the maximum number of results to retrieve.

Free users are limited to 200 visible results with sensitive information masked. Paid users may access higher result limits and full visibility depending on their subscription level and permissions.

🧠 Key Features

Fast Search Across 80+ Billion Records

The system is optimized for quick lookups across a very large public breach index.

22 Query Types

Public Breached Search Fast supports a wide range of identifiers, including personal, technical, vehicle-related, and social media identifiers.

Auto-Detection

The platform can automatically detect the type of query entered by the user.

Overview Section

Search results include a structured overview of discovered matches, source distribution, and available metadata.

Results View

Matched records are displayed in a readable format with source highlighting and structured fields.

Graph View

The tool can visualize relationships between identifiers, sources, and connected records using graph-based analysis.

AI Audit

The AI Audit feature helps summarize and interpret the search results from a security and risk perspective.

Offline Graph Export

Users can export graph analysis as an offline HTML file for local review, reporting, or internal investigations.

Cluster and Expand

The system can cluster related records and expand connected entities to help analysts understand relationships between data points.

Source Highlighting

Sources are visually highlighted to make it easier to identify where specific records were found.

Flexible Export

Results can be exported in multiple formats:

Export functionality is intended for lawful internal use, incident response, compliance checks, and security reporting.

πŸ“Š Results, Graph, and AI Audit

Public Breached Search Fast provides multiple result analysis layers.

Overview

The overview section summarizes key information about the query, such as:

Results

The results section displays matching records from available public breach sources.

Depending on the user’s access level, some sensitive fields may be masked.

Graph

The graph view helps users analyze relationships between identifiers and sources.

This is useful for:

AI Audit

The AI Audit feature provides an automated interpretation of the findings.

It may help identify:

AI Audit is intended to support analyst decision-making and should not be treated as a final legal or forensic conclusion.

πŸ“€ Export Options

Public Breached Search Fast supports several export formats:

Sensitive fields may be masked or excluded depending on account permissions, subscription level, and platform security rules.

Users must not redistribute personal or sensitive data obtained from the system.

⚠️ Important Notes About Sources

A single leak may have many different source references.

Because sources are updated daily, repeated searches may show different or additional sources that were not included in earlier results.

This behavior is normal and reflects the dynamic nature of the breach intelligence index.

Users should treat results as intelligence indicators and verify important findings through proper security, legal, or compliance workflows before taking action.

πŸ›‘οΈ Security, Privacy & Ethics

Public Breached Search Fast is built for defensive cybersecurity, personal security verification, and lawful intelligence analysis.

Users must follow strict ethical rules:

Abuse of the system may result in account restriction, suspension, or termination.

βš™οΈ Technical Highlights

πŸ“Œ Query Types Reference

Query Type Description
auto Auto-detect
email Email
email_local Email local part
email_domain Email domain
phone Phone
fullname Full name
nickname Nickname / Username
password Password
ip IP address
domain Domain
car_plate Car plate
vin VIN
passport Passport
snils SNILS
inn INN
vk VKontakte
telegram Telegram
facebook Facebook
instagram Instagram
composite Composite multi-field query
fullname_dob Full name + date of birth
numeric_id Numeric ID

πŸ“¬ Contact Information

support@niamonx.io β€” Technical Support
other@niamonx.io β€” General Inquiries
takedown@niamonx.io β€” Data Removal / Privacy Takedown Requests
legal@niamonx.io β€” Legal and Compliance Matters

Alternative contact channel:

πŸ”— Helpdesk: https://support.niamonx.io/

Summary

NiamonX Public Breached Search Fast (80+B) is a high-speed public breach intelligence tool designed for fast, broad, and structured searches across more than 80 billion public records.

It supports 22 query types, automatic detection, source highlighting, graph analysis, AI-assisted audit, offline graph export, and multiple export formats.

The tool is intended for lawful cybersecurity investigations, personal exposure checks, compliance workflows, and defensive threat intelligence. It combines speed, large-scale coverage, and flexible analysis features while enforcing masking, access control, and ethical usage requirements.

Dark Web Search | Underground Threat Intelligence Monitoring

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The platform available at dash.niamonx.io/dark_web_search

Overview of the Service

Dark Web Search is a cybersecurity intelligence tool within the NiamonX platform designed to search for mentions of companies, domains, IP addresses, employee credentials, usernames, email addresses, cryptocurrency wallets, CVEs, and other security-relevant indicators across underground forums, dark web communities, and marketplace-related sources.

The tool helps organizations detect early signs of exposure, leaked credentials, threat actor discussions, infrastructure mentions, and possible compromise indicators.

It is designed for security teams, SOC analysts, threat intelligence researchers, compliance departments, and company owners who need to monitor whether their organization, assets, or employees are being discussed or exposed in underground environments.

The results are informational and should always be validated through further investigation before taking operational, legal, or security actions.

πŸ” How the Search Works

When a user submits a search query, such as a company name, domain, IP address, email address, username, BTC wallet, or CVE identifier, the system searches across indexed dark web and underground forum data.

In Simple Mode, the tool searches both:

Results are sorted by ingestion date, meaning the newest collected items appear first.

The platform uses real-time forum scraping and NiamonX Radar intelligence capabilities to detect fresh mentions and newly ingested underground content.

Supported search examples include:

The system is intended to help users identify possible risks, not to provide final conclusions without manual validation.

Dark Web Search supports keyword-based searches related to organizational and technical exposure.

Common searchable values include:

The tool is flexible and can be used for both broad monitoring and focused investigation.

For example:

🧠 Key Features

Real-Time Forum Scraping

The tool continuously collects and processes data from monitored underground sources, allowing users to discover recently ingested mentions.

Search Across Dark Web Forums and Marketplaces

Dark Web Search helps identify mentions across underground communities, forums, marketplaces, and related intelligence sources.

5+ Source Groups

The platform currently provides access to more than five monitored source groups, with collected data updated through the NiamonX Radar intelligence infrastructure.

Simple Search Mode

Simple Mode searches across both post titles and post content, making it easier to find relevant mentions without advanced query syntax.

Ingestion Date Sorting

Results are sorted by ingestion date, allowing analysts to focus on the newest discovered content first.

AI Threat Summary

The platform can generate an AI-assisted threat summary to help users quickly understand the possible risk, context, and relevance of discovered mentions.

IOC Extraction

The system can extract Indicators of Compromise from discovered content.

Possible IOCs may include:

Risk Score

The risk score is calculated based on signals such as:

The score is intended as an analyst support metric and should not be treated as a final determination.

Bookmarks

Users can save searches and individual leak records as bookmarks.

Bookmarks are stored locally in the browser and can be opened from the side panel.

Search History

The tool keeps local browser-based history for easier access to previous searches.

Daily Request Limits

Daily request limits depend on the user’s current plan.

For example, a plan may include:

πŸ“Š Results and Threat Context

Dark Web Search results are designed to help analysts quickly understand what was found and why it may matter.

A result may include:

The system helps users identify whether the discovered mention is likely related to:

All findings should be reviewed manually and correlated with internal logs, SIEM data, EDR alerts, access history, and other trusted security sources.

πŸ€– AI Threat Summary

The AI Threat Summary feature helps convert raw underground data into readable intelligence.

It may assist with:

AI-generated summaries are intended to support human analysts and should not replace professional review.

🧬 IOC Extraction

Dark Web Search can automatically extract security indicators from discovered content.

Extracted indicators may include:

IOC Type Description
IP address Possible infrastructure, victim system, or attacker-controlled host
Domain Mentioned corporate, phishing, malware, or infrastructure domain
Email Exposed account, contact, or credential-related identifier
Hash Malware, file, or credential-related hash
CVE Vulnerability identifier discussed in underground content
Wallet Cryptocurrency wallet connected to scams, ransomware, or illicit activity
Username Forum handle, employee account, or leaked login
URL Mentioned website, panel, leak page, or infrastructure reference

IOC extraction helps analysts move from raw search results to actionable threat intelligence.

πŸ”– Bookmarks and Local Storage

The bookmark system allows users to save important findings for later review.

Bookmarks may include:

Saved searches and leaks are stored locally in the browser and can be opened from the side panel.

This allows analysts to keep track of investigations without relying on external notes or repeated manual searches.

🚦 Daily Requests and Plan Limits

Dark Web Search uses daily request limits based on the user’s subscription plan.

The interface may show:

Example:

Daily Requests
0 / 1000
1000 remaining

These limits help control usage, protect infrastructure stability, and prevent abuse of the intelligence system.

🧠 Risk Score Logic

The risk score is calculated using several intelligence signals.

Main scoring factors include:

A higher risk score may indicate stronger relevance, higher exposure, or more urgent investigation priority.

However, risk scores should be interpreted as guidance, not as absolute proof of compromise.

πŸ›‘οΈ Security, Privacy & Ethics

Dark Web Search is intended for defensive cybersecurity, threat intelligence, brand monitoring, and lawful corporate security investigations.

Users must follow strict ethical and legal rules:

Abuse of the platform may result in account restriction, suspension, or termination.

βš™οΈ Technical Highlights

πŸ”Œ NiamonX Radar API

Dark Web Search is powered by NiamonX Radar, an advanced OSINT and cybersecurity intelligence API.

NiamonX Radar provides access to modern intelligence services through a REST API and supports automated security workflows.

The API can be used for:

Developers and security teams can explore the full API documentation, authentication methods, available endpoints, examples, and integration guides at:

πŸ”— https://radar.niamonx.io/

πŸ“Œ Usage Hints

πŸ“¬ Contact Information

support@niamonx.io β€” Technical Support
other@niamonx.io β€” General Inquiries
takedown@niamonx.io β€” Data Removal / Privacy Takedown Requests
legal@niamonx.io β€” Legal and Compliance Matters

Alternative contact channel:

πŸ”— Helpdesk: https://support.niamonx.io/

Summary

NiamonX Dark Web Search is a threat intelligence and monitoring tool that helps users detect mentions of companies, domains, IP addresses, employee credentials, wallets, CVEs, and other security indicators across underground forums and marketplace-related sources.

It provides real-time forum scraping, ingestion-date sorting, AI threat summaries, IOC extraction, bookmarks, local history, risk scoring, and integration support through the NiamonX Radar API.

The tool is designed for lawful defensive cybersecurity, corporate monitoring, incident response, threat intelligence, and exposure validation. All results should be treated as intelligence leads and confirmed through further investigation before taking action.