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...

Enter the Hunter Satellites Preparing for Space War

True Anomaly, a startup backed by US senator JD Vance's VC firm, plans to launch prototype pursuit satellites on a SpaceX flight later this year...

Juniper Networks Junos OS 代码问题漏洞

Juniper Networks Junos OS is a Juniper Networks network operating system for the company's hardware devices. The operating system provides a secure programming interface and the Junos SDK. A security vulnerability exists in Juniper Networks Junos OS, Junos OS Evolved, which results in a denial of...

Security Bulletin: Vulnerabilities in PHP may affect IBM Spectrum Sentinel Anomaly Scan Engine (CVE-2021-21703, CVE-2021-21708, CVE-2021-21707, CVE-2022-31629, CVE-2022-31628)

Summary Vulnerabilities in PHP may affect IBM Spectrum Sentinel Anomaly Scan Engine. Vulnerabilities include: PHP allowing remote attacker to execute arbitrary code, obtain sensitive information, local authenticated attacker gain elevated privileges on the system, cross-site request forgery and...

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...

Huawei HarmonyOS 安全漏洞

Huawei HarmonyOS is an operating system from Huawei China. It provides a full-scenario distributed operating system based on a microkernel. A security vulnerability exists in Huawei HarmonyOS, which originates from a video playback process anomaly caused by a lack of strict validation of safe...

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...

MediaTek 芯片代码问题漏洞

MediaTek Chipsets are a variety of chips from MediaTek, a Chinese company MediaTek. A security vulnerability exists in MediaTek Chipsets, which originates from an anomaly check in wlan, and can be exploited by an attacker to locally escalate privileges, affecting the following products and...

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...

Five Data Security Controls and Processes you Must Bring to Cloud-native Infrastructures

Too frequently, there are significant misunderstandings in organizations with regard to who has the responsibility to protect cloud-hosted data. In Imperva’s recent report, A Data-Centric Cybersecurity Framework for Digital Transformation, IT analyst and author Richard Stiennon explains what...

Anomaly Detection at Scale Using SQL and Facebook’s Prophet Forecasting Algorithm

Anomaly detection is a very important task. At Imperva we use it for threat hunting, risk analysis, risk mitigation, trends detection and more. In a previous post we showed how it can be done in a simple method by SQL. This time we wanted to use Prophet, which is an algorithm for forecasting time...

DeepTraffic - Deep Learning Models For Network Traffic Classification

For more information please read our papers.  Wei Wang's Google Scholar Homepage Wei Wang, Xuewen Zeng, Xiaozhou Ye, Yiqiang Sheng and Ming Zhu,"Malware Traffic Classification Using Convolutional Neural Networks for Representation Learning," in the 31st International Conference on Information...

MAL-2022-1224 Malicious code in azure-ai-anomaly-detector (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 2c654e658b8660ec3190eefd8d77de0b3c051d571d883e32936b1524bd5bf9a1 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

Imperva Introduces New Features to Help Prevent Online Fraud

As we move more of our daily activities and the services we consume online, the threat of fraud grows, and the risks become greater. Data suggests the majority of organizations are already detecting a rise in online fraud. In a recent survey of senior risk executives, 67 percent said that their...

Huawei CV81-WDM FW Input Check Vulnerability

The Huawei CV81-WDM FW is a laser multifunction printer from Huawei China. A security vulnerability exists in Huawei CV81-WDM FW 01.70.49.29.46. An attacker can exploit the vulnerability to cause a business anomaly...

The Myths of Ransomware Attacks and How To Mitigate Risk

Today's modern companies are built on data, which now resides across countless cloud apps. Therefore preventing data loss is essential to your success. This is especially critical for mitigating against rising ransomware attacks — a threat that 57% of security leaders expect to be compromised by...