Unveiling the Unseen: Identifying Data Exfiltration with Machine Learning

Why Data Exfiltration Detection is Paramount? The world is witnessing an exponential rise in ransomware and data theft employed to extort companies. At the same time, the industry faces numerous critical vulnerabilities in database software and company websites. This evolution paints a dire pictu...

With Imperva’s DRA and ServiceNow, you can avoid burning out your cyber security employees

In todays world, CIOs and CISOs are facing a tough reality when it comes to the security staff shortage situation. With the deflating economy, nationalism, cybercrime, and nation-led adversaries, the demand for security personnel has increased, making it challenging for organizations to find and...

PortEx - Java Library To Analyse Portable Executable Files With A Special Focus On Malware Analysis And PE Malformation Robustness

PortEx is a Java library for static malware analysis of Portable Executable files. Its focus is on PE malformation robustness, and anomaly detection. PortEx is written in Java and Scala, and targeted at Java applications. Features Reading header information from: MSDOS Header, COFF File Header,...

Imperva Unveils Latest API Security Enhancements

Imperva is continuing to evolve its API Security offering to help customers better protect their APIs, wherever they are, and to meet changing market requirements. Since launching API Security in March 2022, we continued investing in our API Security offering with the goal of simplifying the...

Stay compliant and protect sensitive data with Zero Trust security

Regulatory standards frequently shift and tighten, especially with the rise of hybrid work environments. And with the explosion of data growth, organizations have seen a massive uptick in cybersecurity issues and needs. According to IBM’s 2022 Cost of a Data Breach Report, 83 percent of...

Beyond Traditional Security: NDR's Pivotal Role in Safeguarding OT Networks

Why is Visibility into OT Environments Crucial? The significance of Operational Technology OT for businesses is undeniable as the OT sector flourishes alongside the already thriving IT sector. OT includes industrial control systems, manufacturing equipment, and devices that oversee and manage...

A whirlwind adventure: Malwarebytes' 15-year journey in business cybersecurity

As we raise a glass to toast Malwarebytes' 15th anniversary of boldly venturing into the realm of business cybersecurity, we're feeling nostalgic. It's time to buckle up and embark on a whimsical journey through the twists and turns of Malwarebytes' evolution. From modest beginnings to becoming a...

Information Disclosure

opensearch-anomaly-detection is vulnerable to Information Disclosure. The vulnerability exists because of the lack of access restrictions in field-level rules in numerical feature aggregations of the library, allowing a user with the Anomaly Detector role to read aggregated numerical data...

CVE-2023-23933

OpenSearch Anomaly Detection identifies atypical data and receives automatic notifications. There is an issue with the application of document and field level restrictions in the Anomaly Detection plugin, where users with the Anomaly Detector role can read aggregated numerical data e.g. averages,...

Design/Logic Flaw

OpenSearch Anomaly Detection identifies atypical data and receives automatic notifications. There is an issue with the application of document and field level restrictions in the Anomaly Detection plugin, where users with the Anomaly Detector role can read aggregated numerical data e.g. averages,...

CVE-2023-23933 Issue in Anomaly Detection with document and field level rules in numerical feature aggregations

OpenSearch Anomaly Detection identifies atypical data and receives automatic notifications. There is an issue with the application of document and field level restrictions in the Anomaly Detection plugin, where users with the Anomaly Detector role can read aggregated numerical data e.g. averages,...

CVE-2023-23933 Issue in Anomaly Detection with document and field level rules in numerical feature aggregations

OpenSearch Anomaly Detection identifies atypical data and receives automatic notifications. There is an issue with the application of document and field level restrictions in the Anomaly Detection plugin, where users with the Anomaly Detector role can read aggregated numerical data e.g. averages,...

CVE-2023-23933 Issue in Anomaly Detection with document and field level rules in numerical feature aggregations

OpenSearch Anomaly Detection identifies atypical data and receives automatic notifications. There is an issue with the application of document and field level restrictions in the Anomaly Detection plugin, where users with the Anomaly Detector role can read aggregated numerical data e.g. averages,...

CVE-2023-23933

CVE-2023-23933 concerns OpenSearch Anomaly Detection: the plugin improperly applies document- and field-level restrictions, allowing users with the Anomaly Detector role to read aggregated numerical data from restricted fields. This affects authenticated users who already had read access to the r...

PT-2023-19306 · Unknown +2 · Opensearch +2

Name of the Vulnerable Software and Affected Versions: OpenSearch versions prior to 1.3.8 OpenSearch versions prior to 2.6.0 Description: There is an issue with the application of document and field level restrictions in the Anomaly Detection plugin, where users with the Anomaly Detector role can...

About Anomalous Data Transfer detection in InsightIDR

By Shivangi Pandey Shivangi is a Senior Product Manager for D&R at Rapid7. Data exfiltration is an unauthorized movement or transfer of data occurring on an organization’s network. This can occur when a malicious actor gains access to a corporation’s network with the intention of stealing or...

The importance of combined user and data behavior analysis in anomaly detection

Muqeet Khan, Head of Sales Engineering Australia and New Zealand For decades security teams have understood the importance of tracking user behavior to identify potential cybersecurity threats. Behavior analysis systems first appeared in the early 2000s, and in 2015 Gartner officially defined Use...

The art and science behind Microsoft threat hunting: Part 2

We discussed Microsoft Detection and Response Team’s DART threat hunting principles in part 1 of The art and science behind Microsoft threat hunting blog series. In this follow-up post, we will talk about some general hunting strategies, frameworks, tools, and how Microsoft incident responders wo...

The art and science behind Microsoft threat hunting: Part 1

At Microsoft, we define threat hunting as the practice of actively looking for cyberthreats that have covertly or not so covertly penetrated an environment. This involves looking beyond the known alerts or malicious threats to discover new potential threats and vulnerabilities. Why do incident...

Enable Security Teams to Leverage Machine Learning Technologies

As on-premises and cloud-hosted data repositories get larger, they are outstripping the ability of traditional data-crunching methods to efficiently analyze the information. As a result, more enterprises have turned to data science and machine learning platforms to create business value. The...