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 ...

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...

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...

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. 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-2018-3824

CVE-2018-3824 affects Elastic X-Pack Machine Learning in Elasticsearch/Kibana prior to 6.2.4 and 5.6.9. An attacker who can inject data into an index with a running ML job can cause a cross-site scripting (XSS) payload to execute when a user views ML results, potentially exposing cookies or allow...

CVE-2018-3823

CVE-2018-3823 affects Elastic X-Pack Machine Learning in Kibana/Elasticsearch prior to versions 6.2.4 and 5.6.9. The vulnerability is a cross-site scripting (XSS) flaw caused by improper validation of user-supplied input in ML job configurations; users with manage_ml permissions could embed malic...

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...

PT-2018-16217 · Elastic · X-Pack Machine Learning

Name of the Vulnerable Software and Affected Versions: Elasticsearch X-Pack Machine Learning versions prior to 6.2.4 Elasticsearch X-Pack Machine Learning versions prior to 5.6.9 Description: A cross-site scripting issue was found, allowing users with manage ml permissions to create jobs with...

Taking Stock: The Internet of Things, and Machine Learning Algorithms at War

It’s in the news every day; hackers targeting banks, hospitals, or, as we’ve come to fear the most, elections. Suffice to say then that cybersecurity has, in the last few years, gone from a relatively obscure industry – let's qualify that: not in the sense of importance, but rather how folks have...