Microsoft named a Leader in IDC MarketScape for Modern Endpoint Security for Enterprise and Small and Midsize Businesses

The security stakes have never been higher and, consequently, the protection of endpoints as a key component of any extended detection and response XDR strategy has never been more critical—for organizations of all sizes. Microsoft is thrilled to be recognized as a Leader in IDC’s MarketScape...

Researchers Demonstrate New Way to Detect MitM Phishing Kits in the Wild

No fewer than 1,220 Man-in-the-Middle MitM phishing websites have been discovered as targeting popular online services like Instagram, Google, PayPal, Apple, Twitter, and LinkedIn with the goal of hijacking users' credentials and carrying out further follow-on attacks. The findings come from a ne...

How Open Systems uses Microsoft tools to improve security maturity

This blog post is part of the Microsoft Intelligent Security Association guest blog series. Learn more about MISA. We’ve all seen it happen—an organization has all the top-notch security tools in place and still, they get breached. In today’s rapidly evolving threat landscape, complexity leads to...

AI-driven adaptive protection against human-operated ransomware

In human-operated ransomware attacks, threat actors use predictable methods to enter a device but eventually rely on hands-on-keyboard activities to move inside a network. To fortify our existing cloud-delivered automated protection against complex attacks like human-operated ransomware, we...

AI-driven adaptive protection against human-operated ransomware

In human-operated ransomware attacks, threat actors use predictable methods to enter a device but eventually rely on hands-on-keyboard activities to move inside a network. To fortify our existing cloud-delivered automated protection against complex attacks like human-operated ransomware, we...

HTML smuggling surges: Highly evasive loader technique increasingly used in banking malware, targeted attacks

HTML smuggling, a highly evasive malware delivery technique that leverages legitimate HTML5 and JavaScript features, is increasingly used in email campaigns that deploy banking malware, remote access Trojans RATs, and other payloads related to targeted attacks. Notably, this technique was observe...

Security Tool Guts: How Much Should Customers See?

Many cybersecurity tools use engines that calculate risk for events in customer environments. The accuracy of these risk engines is a major concern for customers, since it determines whether an attack is detected or not. Therefore, organizations often request visibility into how a risk engine...

Moderate: graphviz security update

Graphviz is open-source graph-visualization software. Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. It has important applications in networking, bioinformatics, software engineering, database and web design, machine learning, and ...

graphviz security update

An update is available for graphviz. This update affects Rocky Linux 8. A Common Vulnerability Scoring System CVSS base score, which gives a detailed severity rating, is available for each vulnerability from the CVE list Graphviz is open-source graph-visualization software. Graph visualization is...

RLSA-2021:4256 Moderate: graphviz security update

Graphviz is open-source graph-visualization software. Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. It has important applications in networking, bioinformatics, software engineering, database and web design, machine learning, and ...

Google TensorFlow has an unspecified vulnerability (CNVD-2021-92550)

Google TensorFlow is an end-to-end open source platform for machine learning from Google Google, Inc. A security vulnerability exists in versions prior to Google TensorFlow 2.7.0, which stems from an overflow problem in TensorFlow when calculating the output size in the tf.range kernel. No detail...

Google TensorFlow has an unspecified vulnerability (CNVD-2021-92554)

A security vulnerability in Google TensorFlow, an end-to-end open source platform for machine learning from Google, stems from the use of uninitialized variables in the Grappler optimizer. If the trainnodes vector obtained from the saved optimization model does not contain Dequeue nodes, then...

Google TensorFlow Numeric Error Vulnerability (CNVD-2021-88254)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow versions prior to 2.7.0 suffer from a numeric error vulnerability that stems from the fact that TensorFlow's ParallelConcat loses some input validation and produces a divide by...

Google TensorFlow has an unspecified vulnerability (CNVD-2021-92553)

Google TensorFlow is an end-to-end open source platform for machine learning from Google. Google TensorFlow has a security vulnerability that stems from an implementation of SplitV that can trigger a segment error, and no details of the vulnerability are currently available...

Google TensorFlow buffer overflow vulnerability (CNVD-2021-87050)

Google TensorFlow is an end-to-end open source platform for machine learning from Google Google. Google TensorFlow is vulnerable to a buffer overflow vulnerability that stems from Transpose's shape inference function being vulnerable to a heap buffer overflow. No details of the vulnerability are...

Google TensorFlow resource management error vulnerability

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A resource management error vulnerability exists in Google TensorFlow, which stems from the fact that when two tf.function-modified Python functions recurse on each other, the code behind the tf.functio...

Google TensorFlow Heap Out-of-Bounds Access Vulnerability (CNVD-2021-85882)

Google TensorFlow is an end-to-end open source machine learning platform. a heap out-of-bounds access vulnerability exists in the SparseFillEmptyRows implementation in versions prior to TensorFlow 2.7.0. No details of the vulnerability are currently available...

Google TensorFlow heap allocation array out-of-bounds read vulnerability (CNVD-2021-85885)

Google TensorFlow is an end-to-end open source machine learning platform. An out-of-bounds read vulnerability exists in the shape inference code of tf.ragged.cross in versions prior to TensorFlow 2.7.0 for heap allocation arrays. No details of the vulnerability are currently available...

Google TensorFlow null pointer dereference vulnerability (CNVD-2021-85888)

Google TensorFlow, an end-to-end open source machine learning platform, is vulnerable to a null pointer dereference in the shape inference code of DeserializeSparse in versions of TensorFlow prior to 2.7.0. The vulnerability stems from the shape inference function assuming that the serializespars...

Google TensorFlow heap out-of-bounds access vulnerability

Google TensorFlow is an end-to-end open source machine learning platform. a heap out-of-bounds access vulnerability exists in the implementation of the FusedBatchNorm kernel in versions prior to TensorFlow 2.7.0. No details of the vulnerability are currently available...