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Wired Threat Level
Wired Threat Level
added 2018/11/17 12:0 p.m.61 views

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...

2.8AI score
Exploits0
Talos Blog
Talos Blog
added 2018/11/14 8:38 a.m.23 views

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...

0.6AI score
Exploits0
Microsoft Secure
Microsoft Secure
added 2018/11/13 5:0 p.m.77 views

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...

0.6AI score
Exploits0
Qualys Blog
Qualys Blog
added 2018/11/12 5:41 p.m.73 views

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...

0.1AI score
Exploits0
Malwarebytes
Malwarebytes
added 2018/10/09 3:0 p.m.46 views

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...

0.3AI score
Exploits0
Malwarebytes
Malwarebytes
added 2018/10/05 3:0 p.m.89 views

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...

7.4AI score
Exploits0
CNVD
CNVD
added 2018/09/21 12:0 a.m.1 views

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 ...

5.4CVSS5.8AI score0.00195EPSS
Exploits0References1
OSV
OSV
added 2018/09/19 7:29 p.m.0 views

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...

5.4CVSS5.7AI score
Exploits0References2
Prion
Prion
added 2018/09/19 7:29 p.m.16 views

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...

3.5CVSS5.8AI score0.00195EPSS
Exploits0References2Affected Software3
OSV
OSV
added 2018/09/19 7:29 p.m.1 views

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...

6.1CVSS5.7AI score0.00217EPSS
Exploits0References2
NVD
NVD
added 2018/09/19 7:29 p.m.14 views

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...

5.4CVSS6AI score0.00195EPSS
Exploits0References2
Prion
Prion
added 2018/09/19 7:29 p.m.16 views

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...

4.3CVSS6.1AI score0.00217EPSS
Exploits0References2Affected Software3
NVD
NVD
added 2018/09/19 7:29 p.m.14 views

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...

6.1CVSS6.3AI score0.00217EPSS
Exploits0References2
CVE
CVE
added 2018/09/19 7:0 p.m.71 views

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...

6.1CVSS6.1AI score0.00217EPSS
Exploits0References2Affected Software1
CVE
CVE
added 2018/09/19 7:0 p.m.58 views

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...

5.4CVSS5.6AI score0.00195EPSS
Exploits0References2Affected Software1
Cvelist
Cvelist
added 2018/09/19 7:0 p.m.18 views

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...

6.3AI score0.00217EPSS
Exploits0References2
Positive Technologies
Positive Technologies
added 2018/09/19 12:0 a.m.1 views

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...

5.4CVSS5.6AI score0.00195EPSS
Exploits0References3
Imperva Blog
Imperva Blog
added 2018/09/11 1:56 p.m.56 views

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...

7.8AI score
Exploits0
Wallarm Lab
Wallarm Lab
added 2018/09/07 12:15 a.m.57 views

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...

7.2AI score
Exploits0
Microsoft Secure
Microsoft Secure
added 2018/09/06 6:0 p.m.59 views

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 ...

0.2AI score
Exploits0
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