Opsec Cyber machine learning Archives - Page 6 of 7

Category Archives: machine learning

Open Sourcing StringSifter

September 7 2019 By Daniel Pany in data science, FLARE, Homepage Carousel, Jay Gibble, Latest Blog Posts, machine learning, Malware Analysis, Matthew Haigh, Michael Sikorski, Philip Tully, Threat Research, tools

Malware analysts routinely use the Strings program during static analysis in order to inspect a binary's printable characters. However, identifying relevant strings by hand is time...

Open Sourcing StringSifter

Malware analysts routinely use the Strings program during static analysis in order to inspect a binary's printable characters. However, identifying relevant strings by hand is time...

Open Sourcing StringSifter

Malware analysts routinely use the Strings program during static analysis in order to inspect a binary's printable characters. However, identifying relevant strings by hand is time...

Showing Vulnerability to a Machine: Automated Prioritization of Software Vulnerabilities

August 13 2019 By Daniel Pany in Data, Evan Wright, Homepage Carousel, Latest Blog Posts, machine learning, Threat Research, vulnerabilities

Introduction If a software vulnerability can be detected and remedied, then a potential intrusion is prevented. While not all software vulnerabilities are known, 86 ...

Showing Vulnerability to a Machine: Automated Prioritization of Software Vulnerabilities

August 13 2019 By Daniel Pany in Data, Evan Wright, Homepage Carousel, Latest Blog Posts, machine learning, Security, Threat Research, vulnerabilities

Introduction If a software vulnerability can be detected and remedied, then a potential intrusion is prevented. While not all software vulnerabilities are known, 86 ...

Showing Vulnerability to a Machine: Automated Prioritization of Software Vulnerabilities

August 13 2019 By Daniel Pany in Data, Evan Wright, Homepage Carousel, Latest Blog Posts, machine learning, Security, Threat Research, vulnerabilities

Introduction If a software vulnerability can be detected and remedied, then a potential intrusion is prevented. While not all software vulnerabilities are known, 86 ...

Learning to Rank Strings Output for Speedier Malware Analysis

May 29 2019 By Daniel Pany in FLARE, Homepage Carousel, Jay Gibble, Latest Blog Posts, machine learning, Malware, Malware Analysis, Matthew Haigh, Michael Sikorski, Philip Tully, Security, Threat Research

Reverse engineers, forensic investigators, and incident responders have an arsenal of tools at their disposal to dissect malicious software binaries. When performing malware analysis, they successively ...