Russian APTs target EU governments. FIN7 is back. Google and Facebook scammed.

Russian APTs target EU governments. FIN7 is back. Google and Facebook scammed.

A listener recommends an online tool for safely previewing web sites. Dave shares research on what time of the work week is best for scams. Joe explains credential stuffing. Our guest is Frances Dewing, the CEO and co-founder of Rubica. They recently published a report on how crooks are accessing parents’ mobile devices via apps their kids load.

Priscilla Moriuchi discusses Insikt Group's recently published findings from their research into Chinese efforts to sway public opinion via social media.

Akamai's Larry Cashdollar joins us to describe an exploit he recently came across while researching MageCart incidents. It's a remote command execution vulnerability affecting ThinkPHP, a popular web framework.

Venezuela's black-out. Trolling with tragic effect. Cyber conflict. Misconfiguration. Intelligent brute-forcing.

Mollie MacDougall, threat intelligence manager at Cofense, shares her insights and advice on the broad spectrum of phishing threats organizations face.

US National Intelligence Strategy. Space competition. Emerging technologies. Space Force. Procurement and prototypes. Industry notes.

In this CyberWire special edition, our guest is Cisco’s Chief Privacy Officer Michelle Dennedy. We discuss what exactly a chief privacy officer does at a global organization like Cisco, why she thinks we’re in the early stages of a privacy revolution...

In the final episode of our four-part series, called “Ground Truth or Consequences: the challenges and opportunities of regulation in cyberspace,” we examine some of the game changing high profile breaches like Yahoo, Equifax and OPM, along with their impacts and lessons learned. Our guest is Dr. Christopher Pierson, CEO and founder of BlackCloak.

The CyberWire is pleased to present the 5th Annual Women in Cyber Security Reception on Thursday, October 18, 2018, in Washington, DC.

This talk will present a novel application of a machine learning model and a corresponding tool, asm2vec, for vulnerability discovery. Treating both program disassembly as a natural language, we construct embeddings of identifiers at scale using a concept similar to word2vec, in which the output is a vector of related identifiers and their proximity.