GUIDE

Infected User Response Guide

Take swift action on malware infections
Malware Infected User Guide

Many users are unknowingly using systems infected with malware that provides cybercriminals with access to their account passwords and full browser details. Information pilfered by these “botnets” is collected by bad actors, shared in small circles, and sometimes posted in hacking web forums, making it simple for cybercriminals to perpetrate account takeover, SIM swaps, blackmail and identity theft, and make fraudulent purchases.

Enterprises can mitigate the risks associated with malware infections by taking swift action to inform affected users and help them remediate.

Download our Infected User Response Guide to learn:

  • How infected users impact your organization, even if the affected systems fall outside of corporate control
  • What it means when employee or consumer information appears on a botnet log
  • How to contact users with an action plan (we provide an email template you can use right away)
Download the PDF version of the guide to print or share with others.

Solution:

SpyCloud Compass

Protect your business from malware risks by acting on compromised assets most likely to lead to future ransomware attacks

With SpyCloud, you get enterprise-level, automated account takeover and ransomware prevention powered by Cybercrime Analytics based on actionable darknet insights.

SpyCloud offers the largest collection of recaptured darknet data in the world, combined with the earliest possible recovery. Our proprietary engine quickly ingests data from breaches, malware-infected devices, and other underground sources, then cleanses and enriches the data – adding context to the records so you understand the severity of the exposures (the source, breach description, and the actual password in plaintext). Our customers get notifications of compromised accounts and passwords far sooner with SpyCloud than any other provider.

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Check Your Exposure

See your real-time breach exposure details powered by SpyCloud data.

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