Fareit

June 23, 2020

THREAT RESEARCH

Threat Roundup for June 5 to June 12

Today, Talos is publishing a glimpse into the most prevalent threats we’ve observed between June 5 and June 12. As with previous roundups, this post isn’t meant to be an in-depth analysis. Instead, this post will summarize the threats we’ve observed by highlighting key behavioral characteristics, indicators of compromise, and discussing how our customers are […]

April 24, 2020

SECURITY

Threat Roundup for April 17 to April 24

Today, Talos is publishing a glimpse into the most prevalent threats we’ve observed between Apr 17 and Apr 24. As with previous roundups, this post isn’t meant to be an in-depth analysis. Instead, this post will summarize the threats we’ve observed by highlighting key behavioral characteristics, indicators of compromise, and discussing how our customers are […]

December 13, 2019

SECURITY

Threat Roundup for December 6 to December 13

Today, Talos is publishing a glimpse into the most prevalent threats we’ve observed between Dec 6 and Dec 13. As with previous roundups, this post isn’t meant to be an in-depth analysis. Instead, this post will summarize the threats we’ve observed by highlighting key behavioral characteristics, indicators of compromise, and discussing how our customers are […]

November 22, 2016

THREAT RESEARCH

Fareit Spam: Rocking Out to a New File Type

This post authored by Nick Biasini Talos is constantly monitoring the threat landscape including the email threat landscape. Lately this landscape has been dominated with Locky distribution. During a recent Locky vacation Talos noticed an interesting shift in file types being used to distribute another well known malware family, Fareit. We’ve discussed Fareit before, it’s […]

September 30, 2015

THREAT RESEARCH

Down the Rabbit Hole: Botnet Analysis for Non-Reverse Engineers

This post is authored by Earl Carter & Holger Unterbrink. Overview Talos is often tasked with mapping the backend network for a specific piece of malware. One approach is to first reverse engineer the sample and determine exactly how it operates. But what if there is no time or resources to take the sample apart? […]