Ficker Stealer

Info Stealing

RAT

Spyware

APT

Ficker Stealer

Ficker Stealer

Ficker Stealer is a Rust-based malware targeting Windows systems to steal sensitive information, such as login credentials, credit card data, cryptocurrency wallets, and browser-stored details from applications like WinSCP, Discord, Google Chrome, and Electrum. Additionally, it functions as a file grabber to collect files from compromised machines and a downloader for deploying secondary malware payloads.

Known Variants

Known Variants

Ficker Stealer’s MaaS model has resulted in functional customizations tailored by different actors, but no distinct variants have been officially documented.

Ficker Stealer’s MaaS model has resulted in functional customizations tailored by different actors, but no distinct variants have been officially documented.

Mitigation Strategies

Mitigation Strategies

Avoid downloading software from untrusted or unofficial websites. Regularly update operating systems and applications to fix known vulnerabilities. Use advanced antivirus and anti-malware tools to block and remove threats. Train users on identifying phishing campaigns and practicing safe browsing.

Targeted Industries or Sectors

Targeted Industries or Sectors

Individual Users: Often lured by free software downloads from untrusted sources. Financial Services: Focused on harvesting sensitive financial credentials. Cryptocurrency Users: Targets cryptocurrency wallets and associated details.

Individual Users: Often lured by free software downloads from untrusted sources. Financial Services: Focused on harvesting sensitive financial credentials. Cryptocurrency Users: Targets cryptocurrency wallets and associated details.

Associated Threat Actors

Associated Threat Actors

Ficker Stealer is distributed via underground forums, enabling a variety of threat actors to adopt and deploy it anonymously, complicating attribution efforts.

Ficker Stealer is distributed via underground forums, enabling a variety of threat actors to adopt and deploy it anonymously, complicating attribution efforts.

References