Prevent Cyber Threats with Dark Web Data at Scale
Get instant and comprehensive coverage of deep and dark web content. Access personally identifiable information (PII) leaks, illicit discussions, dark marketplace trading and messaging chat platforms like Discord and Telegram.
Get instant access to the most comprehensive dark web database
Webhose.io offers superior cyber security coverage of the dark networks with millions of sites, files, marketplaces and messaging applications crawled daily.
Simplified Data Extraction
Save developer time and money - focus on your core competence instead of writing scrapers. Access structured and unstructured data with one endpoint.
Access Hidden Content
The dark web and messaging app crawlers extract encrypted and password-protected illicit content from chat applications like Discord and Telegram.
Get a structured JSON or XML with enriched entities, using a simple API call, so you can start mining your enriched data immediately.
Cyber threat intelligence monitoring capabilities built to help you identify and respond to new content as it gets published on the darknet.
Reduce noise with granular filtering: site names, keywords, entities like wallet IDs, email address, phone numbers, credit cards,and many other advanced filters.
360° Darknet Coverage Available
How Cyber Security Organizations Use Webhose Dark Web Data
Monitor darknet marketplaces and other arenas of illicit trafficking in drugs, weapons and hacking tools, and see hidden communications between bad actors.
National Security and Intelligence
Detect planned cyber attacks, identify recruitment attempts and propaganda being spread by terrorist organizations.
Financial Fraud Detection
Create proactive alerting systems for leaked credit card numbers and other confidential information, and investigate cryptocurrency transactions via blockchain addresses.
Mitigate risk factors such as counterfeiting attempts, unlicensed use, and leaked information to protect your brand before a crisis strikes.
Continuously scan the web for compromised electronic medical records or sensitive information, as well as to detect threats around IoT.