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...

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-2018-3823

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...

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...

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...

Wallarm joins AI Leaders @ AI Summit

Wallarm joins a select group of AI startups and prominent technologists from Nvidia, Netflix, Microsoft and Amazon to participate in AI Summit on September 19–20 at San Francisco’s Palace of Fine Arts. AI Summit puts AI to work by delivering real value in the business. In just 3 years this...

Small businesses targeted by highly localized Ursnif campaign

Cyber thieves are continuously looking for new ways to get people to click on a bad link, open a malicious file, or install a poisoned update in order to steal valuable data. In the past, they cast as wide a net as possible to increase the pool of potential victims. But attacks that create a lot ...

Practical application of artificial intelligence that can transform cybersecurity

As I write this blog post, Im sitting by the beach on my computer in a sunny destination while my family plays in the water. Were on vacation, but we all have our own definition of fun. For me its writing blogs on the beachreally! The headspace is outstanding for uninterrupted thinking time and...

Partner Perspectives: Creating Your Own Threat Hunting Army

Idan Bellayev is the head of security research for empow. Cyber intelligence is one of the strongest tools that can be used to combat a potential attacker. Accessing the information needed to build cyber intelligence from a reliable source is typically difficult and very expensive - but it doesn’...

This Week in Security News: Facebook and Faxploits

Welcome to our weekly roundup, where we share what you need to know about the cybersecurity news and events that happened over the past few days. This week, Facebook removed 652 fake accounts originating from Russia and Iran. Also, Microsoft identified and removed fake internet domains that...

Security and Artificial Intelligence: Hype vs. Reality

While artificial intelligence and machine learning are far from new, many in security suddenly believe these technologies will transform their business and enable them to detect every cyber threat that comes their way. But instead, the hype may create more problems than it solves. Recently,...

AI and Machine Learning: Boosting Compliance and Preventing Spam

Some of the most advanced strategies in the current technology and analytics spaces include artificial intelligence and machine learning. These innovative approaches can hold nearly endless possibilities for technological applications: from the ability to eliminate manual work and enable software...

Subdomain Enumeration Tool: Amass

Amass is the subdomain enumeration tool with the greatest number of disparate data sources that performs analysis of the resolved names in order to deliver the largest number of quality results. Amass performs scraping of data sources, recursive brute forcing, crawling of web archives, permuting...

James Mickens on the Current State of Computer Security

James Mickens gave an excellent keynote at the USENIX Security Conference last week, talking about the social aspects of security -- racism, sexism, etc. -- and the problems with machine learning and the Internet. Worth watching...

Identifying Programmers by their Coding Style

Fascinating research de-anonymizing code -- from either source code or compiled code: Rachel Greenstadt, an associate professor of computer science at Drexel University, and Aylin Caliskan, Greenstadt's former PhD student and now an assistant professor at George Washington University, have found...