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Cvelist
Cvelist
added 2019/12/18 5:33 p.m.31 views

CVE-2019-8760

This issue was addressed by improving Face ID machine learning models. This issue is fixed in iOS 13. A 3D model constructed to look like the enrolled user may authenticate via Face ID...

6.5AI score0.00307EPSS
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CVE
CVE
added 2019/12/18 5:33 p.m.69 views

CVE-2019-8760

CVE-2019-8760 concerns Face ID authentication on Apple iOS. Description and multiple sources confirm that a 3D model constructed to resemble the enrolled user could bypass Face ID. The issue is addressed by improving Face ID machine learning models and was fixed in iOS 13. Related entries in Red ...

6.8CVSS7.1AI score0.00307EPSS
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Microsoft Secure
Microsoft Secure
added 2019/12/18 5:0 p.m.98 views

Data governance and retention in your Microsoft 365 tenant—a secure and highly capable solution

Data governance has relied on transferring data to a third-party for hosting an archive service. Emails, documents, chat logs, and third-party data Bloomberg, Facebook, LinkedIn, etc. must be saved in a way that it can’t be changed and won’t be lost. Data governance is part of IT at the enterpris...

0.1AI score
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Microsoft Secure
Microsoft Secure
added 2019/12/13 5:0 p.m.48 views

Finding a common language to describe AI security threats

As artificial intelligence AI and machine learning systems become increasingly important to our lives, it’s critical that when they fail we understand how and why. Many research papers have been dedicated to this topic, but inconsistent vocabulary has limited their usefulness. In collaboration wi...

1.6AI score
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Schneier on Security
Schneier on Security
added 2019/12/09 11:56 a.m.44 views

Failure Modes in Machine Learning

Interesting taxonomy of machine-learning failures pdf that encompasses both mistakes and attacks, or -- in their words -- intentional and unintentional failure modes. It's a good basis for threat modeling...

2.7AI score
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Schneier on Security
Schneier on Security
added 2019/11/29 11:43 a.m.87 views

Manipulating Machine Learning Systems by Manipulating Training Data

Interesting research: "TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents": Abstract:: Recent work has identified that classification models implemented as neural networks are vulnerable to data-poisoning and Trojan attacks at training time. In this work, we show that these training-ti...

7.4AI score
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Microsoft Secure
Microsoft Secure
added 2019/11/26 6:9 p.m.31 views

Gartner Names Microsoft a Leader in the 2019 Enterprise Information Archiving (EIA) Magic Quadrant

We often hear from customers about the explosion of data, and the challenge this presents for organizations in remaining compliant and protecting their information. We’ve invested in capabilities across the landscape of information protection and information governance, inclusive of archiving,...

0.6AI score
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Imperva Blog
Imperva Blog
added 2019/11/25 1:14 p.m.59 views

Deployment Isn’t the Final Step – Monitoring Machine Learning Models in Production

Unless you’ve been living in a cave for the last decade, you’ve probably heard of the concept of a machine learning system at least once in your life. Whether it’s auto-translation, auto-completion, face or voice recognition, recommendation systems or autonomous driving, AI-based systems can be...

7AI score
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Trend Micro Simply Security
Trend Micro Simply Security
added 2019/11/15 2:5 p.m.101 views

This Week in Security News: APT33 Botnets Used for Extreme Narrow Targeting and Microsoft’s Patch Tuesday Arrives with A Patch for An IE Zero-Day

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, learn about the APT33 threat group that is using live C&C servers for extremely narrow targeting. Also, read about Trend Micro’s complete...

6.6AI score
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vulnersOsv
vulnersOsv
added 2019/11/08 7:15 p.m.7 views

azureml-designer-classic-modules (>=0.0.105 <=0.0.112), azureml-designer-core (>=0.0.21 <=0.0.29) +36 more potentially affected by CVE-2019-12410 via pyarrow (>=0.12.0 <=0.14.1)

pyarrow PYPI version =0.12.0, =0.0.105, =0.0.21, =0.0.17, =0.0.36, =0.0.9, =1.0.48.1, =0.1.0, =1.4.2, =3.0.20190405035157, =0.1.0, =0.1.1, =1.13.4, =1.15.1 and more Source cves: CVE-2019-12410 Source advisory: OSV:PYSEC-2019-196...

7.5CVSS7.1AI score0.04608EPSS
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Imperva Blog
Imperva Blog
added 2019/11/07 10:4 p.m.77 views

How Machine Learning is Changing the Face of Financial Services

Artificial intelligence AI has become integrated into our everyday lives. It powers what we see in our social media newsfeeds, activates facial recognition to unlock our smartphones, and even suggests music for us to listen to. Machine learning, a subset of AI, is progressively integrating into o...

0.7AI score
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MSRC
MSRC
added 2019/10/25 7:0 a.m.9 views

Time for day 2 of briefings at BlueHat Seattle!

We hope you enjoyed the first day of our BlueHat briefings and the Bytes of BlueHat reception in our glamping tent complete with toasted marshmallows. Yesterday, we learned a lot about how XboxOne hardware security has advanced the state of hardware security elsewhere, we heard some surprising...

6.9AI score
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MSRC
MSRC
added 2019/10/25 7:0 a.m.15 views

Time for day 2 of briefings at BlueHat Seattle!

We hope you enjoyed the first day of our BlueHat briefings and the Bytes of BlueHat reception in our glamping tent complete with toasted marshmallows. Yesterday, we learned a lot about how XboxOne hardware security has advanced the state of hardware security elsewhere, we heard some surprising...

0.8AI score
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Imperva Blog
Imperva Blog
added 2019/10/23 6:18 p.m.49 views

Celebrate Cybersecurity Awareness Month with These Tips From a Survey of 1,200 Security Pros

Held every October, National Cybersecurity Awareness Month NCSAM is a collaborative effort between government and industry meant to raise awareness about the importance of cybersecurity. NCSAM is focused largely on consumer awareness, but for cybersecurity leaders, it is also a great opportunity ...

7.2AI score
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FireEye
FireEye
added 2019/10/17 3:30 p.m.17 views

Definitive Dossier of Devilish Debug Details – Part Deux: A Didactic Deep Dive into Data Driven Deductions

In Part One of this blog series, Steve Miller outlined what PDB paths are, how they appear in malware, how we use them to detect malicious files, and how we sometimes use them to make associations about groups and actors. As Steve continued his research into PDB paths, we became interested in...

6.4AI score
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Schneier on Security
Schneier on Security
added 2019/10/17 11:8 a.m.50 views

Using Machine Learning to Detect IP Hijacking

This is interesting research: In a BGP hijack, a malicious actor convinces nearby networks that the best path to reach a specific IP address is through their network. That's unfortunately not very hard to do, since BGP itself doesn't have any security procedures for validating that a message is...

1.5AI score
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Microsoft Secure
Microsoft Secure
added 2019/10/16 5:0 p.m.72 views

Top 6 email security best practices to protect against phishing attacks and business email compromise

Most cyberattacks start over email—a user is tricked into opening a malicious attachment, or into clicking a malicious link and divulging credentials, or into responding with confidential data. Attackers dupe victims by using carefully crafted emails to build a false sense of trust and/or urgency...

6.7AI score
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Microsoft Secure
Microsoft Secure
added 2019/10/15 4:0 p.m.62 views

Microsoft’s 4 principles for an effective security operations center

The Microsoft Cyber Defense Operations Center CDOC fields trillions of security signals every day. How do we identify and respond to the right threats? One thing that won’t surprise you: we leverage artificial intelligence AI, machine learning, and automation to narrow the focus. But technology i...

7.2AI score
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The Hacker News
The Hacker News
added 2019/10/10 11:34 a.m.77 views

New Comic Videos Take CISO/Security Vendor Relationship to the Extreme

Today's CISOs operate in an overly intensive environment. As the ones who are tasked with the unenviable accountability for failed protection and successful breaches, they must relentlessly strive to improve their defense lines with workforce education, training their security teams and last but...

7.1AI score
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BDU FSTEC
BDU FSTEC
added 2019/10/09 12:0 a.m.7 views

The vulnerability of the analysis mechanism of machine learning models used in antivirus protection software CylancePROTECT allows attackers to introduce malicious files by bypassing the protection mechanisms, by embedding specially crafted code into the malicious files.

The vulnerability of the analysis mechanism for machine learning models used in antivirus protection software CylancePROTECT exists due to insufficient verification of input data. Exploiting this vulnerability allows a malicious actor to introduce a malicious file by bypassing the protection...

8.1CVSS5.6AI score
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