SNDBOX: AI-Powered Online Automated Malware Analysis Platform

Looking for an automated malware analysis software? Something like a 1-click solution that doesn't require any installation or configuration…a platform that can scale up your research time… technology that can provide data-driven explanations… well, your search is over! Israeli cybersecurity and...

Insights from the MITRE ATT&CK-based evaluation of Windows Defender ATP

In MITREs evaluation of endpoint detection and response solutions, Windows Defender Advanced Threat Protection demonstrated industry-leading optics and detection capabilities. The breadth of telemetry, the strength of threat intelligence, and the advanced, automatic detection through machine...

Wallarm to Sponsor KubeCon + CloudNative Con

If you have not registered yet for the main Kubernetes event in North America which will start on December 10th in Seattle, you may be out of luck. The event is sold out and is only taking the waitlist applications. But if you are going, KubeCon + CloudNativeCon promises to be a treat with the...

Obfuscated Command Line Detection Using Machine Learning

This blog post presents a machine learning ML approach to solving an emerging security problem: detecting obfuscated Windows command line invocations on endpoints. We start out with an introduction to this relatively new threat capability, and then discuss how such problems have traditionally bee...

AWS Helping to Unlock Potentially Life-saving Innovation for the Healthcare Sector – While Keeping Sensitive Information Locked Down

Marnie Wilking – CISO, VP Information Assurance, Orion Health Many of the next significant, potentially lifesaving discoveries that will happen in healthcare will be the direct result of big data, machine learning and artificial intelligence. Making the shift to big data, machine learning and...

Cyberthreats to financial institutions 2019: overview and predictions

Kaspersky Security Bulletin: Threat Predictions for 2019 Threat predictions for industrial security in 2019 Cryptocurrency threat predictions for 2019 Introduction – key events in 2018 The past year has been extremely eventful in terms of the digital threats faced by financial institutions:...

Using Machine Learning to Create Fake Fingerprints

Researchers are able to create fake fingerprints that result in a 20% false-positive rate. The problem is that these sensors obtain only partial images of users' fingerprints -- at the points where they make contact with the scanner. The paper noted that since partial prints are not as distinctiv...

Machine Learning Can Create Fake ‘Master Key’ Fingerprints

Researchers have refined a technique to create so-called DeepMasterPrints: fake fingerprints designed to get past security...

Beers with Talos Ep. #41: Sex, money and malware

Beers with Talos BWT Podcast Ep. 41 is now available. Download this episode and subscribe to Beers with Talos: If iTunes and Google Play aren't your thing, click here. Ep. 41 show notes: Recorded Nov. 9, 2018 — We tried to make this episode last week, but thanks to some technical difficulties, we...

The evolution of Microsoft Threat Protection, November update

At Ignite 2018, we announced Microsoft Threat Protection, a comprehensive, integrated solution securing the modern workplace across identities, endpoints, user data, cloud apps, and, infrastructure Figure 1. The foundation of the solution is the Microsoft Intelligent Security Graph, which...

Welcome to Qualys Security Conference 2018

The rise of cloud computing coupled with DevOps is forcing enterprises to rewrite their cybersecurity playbook, and part of that book will be written this week at Qualys Security Conference 2018 in Las Vegas. Today, the dual cloud and DevOps mega-trends are helping companies to digitally transfor...

When Endpoint Detection and Response (EDR) is not enough

As cybercriminals continue to validate the reality that no prevention-based security control is going to stop every threat every time, companies are expanding beyond prevention-only approaches and closing the gap with endpoint detection and response solutions. But as we consider this strategy, on...

Fileless malware: part deux

In part one of this series, we focused on an introduction to the concepts fileless malware, providing examples of the problems that we in the security industry face when dealing with these types of attacks. In part two, I will be walking through a few demonstrations of fileless malware attacks th...

Elastic X-Pack Machine Learning Cross-Site Scripting Vulnerability

Elastic X-Pack is an extension of the Elastic Stack log analytics system from Elasticsearch in the Netherlands.X-Pack Machine Learning is one of the machine learning components. A cross-site scripting vulnerability in Elastic X-Pack Machine Learning versions prior to 6.2.4 and prior to 5.6.9 can ...

CVE-2018-3824

X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting XSS vulnerability. If an attacker is able to inject data into an index that has a ML job running against it, then when another user views the results of the ML job it could allow the attacker to obtain sensitive...

CVE-2018-3824

X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting XSS vulnerability. If an attacker is able to inject data into an index that has a ML job running against it, then when another user views the results of the ML job it could allow the attacker to obtain sensitive...

CVE-2018-3823

X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting XSS vulnerability. Users with manageml permissions could create jobs containing malicious data as part of their configuration that could allow the attacker to obtain sensitive information from or perform destructiv...

Cross site scripting

X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting XSS vulnerability. Users with manageml permissions could create jobs containing malicious data as part of their configuration that could allow the attacker to obtain sensitive information from or perform destructiv...

Cross site scripting

X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting XSS vulnerability. If an attacker is able to inject data into an index that has a ML job running against it, then when another user views the results of the ML job it could allow the attacker to obtain sensitive...

CVE-2018-3823

X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting XSS vulnerability. Users with manageml permissions could create jobs containing malicious data as part of their configuration that could allow the attacker to obtain sensitive information from or perform destructiv...