Compromised Accounts, Compromised Emails, Access Currently for Sale

Sector: Any
Company size: All
Department: Intel Team, CSIRT, Fraud Team, SOC

Cybersixgill continuously monitors your assets, brand, employees and customer data across the cybercriminal underground and on social media in real-time, providing early warnings and actionable recommendations to help safeguard assets and proactively remediate threats as they surface.

Using our Access Currently for Sale dashboard, get a streamlined view of your organization's exposure to underground compromised access markets, also known as Initial Access Broker (IAB) markets. Cybersixgill instantly collects and categorizes data on compromised credentials from the deep and dark web by type (e.g., Slack, Jira, Salesforce) so you can prioritize remediation activities or instigate a dark web purchase to remove specific credentials from the underground.

Set up customizable alerts to notify you of leaked credentials or credit card data leaked on the deep and dark web, including instant messaging apps, IRC chats and limited-access dark web forums and marketplaces. Receive a breakdown of leaked credit cards by BINs, geography or issuer to implement a root-cause analysis and proactively defend against threats to your organization, assets and customers.

With our real-time collection and monitoring capabilities, your team can quickly mitigate exposure from compromised accounts, deny threat actors access and limit damage to your business operations.

Credit card on a keyboard

Key capabilities delivered by Cybersixgill for this use case:

Immediate detection of data leaks compromising your organization and assets

Comprehensive, real-time coverage of dark web, deep web, IM apps and paste sites

OCR image-to-text and multi-language intel extraction

Intuitive search functionality to investigate threats

Understand the origin of identified leaks

Break down leaked credit cards by issuer, geography or BIN

How to identify leaked credentials

Explore the following Cybersixgill solutions which address this use case: