Cowrie honeypot and its Integration with Microsoft Sentinel.
Honeypot: Honeypot is a security mechanism designed to attract, detect, and analyze malicious activities and attackers by simulating a vulnerable system or network service. The primary purpose of a honeypot is to provide a controlled environment where security professionals can observe and study attack methods, tools, and behaviors without putting actual production systems at risk. Integrating Honeypot (Cowrie) with Microsoft Sentinel brings several benefits for enhancing cybersecurity operations. Microsoft Sentinel is a cloud-native Security Information and Event Management (SIEM) service that provides intelligent security analytics and threat intelligence across the enterprise. By combining Cowrie’s detailed honeypot data with Sentinel’s advanced analytics and automation capabilities, organizations can achieve a more comprehensive and effective security posture. Analytical Rules, Threat Hunting, Automation, Workbooks, Custom Parsers.Microsoft Sentinel & Cyberint Threat Intel Integration Guide
Explore comprehensive guide on "Microsoft Sentinel & Cyberint Threat Intel Integration Guide," to learn how to integrate Cyberint's advanced threat intelligence with Microsoft Sentinel. This detailed resource will walk you through the integration process, enabling you to leverage enriched threat data for improved detection and response. Elevate your security posture and ensure robust protection against emerging threats. Read the guide to streamline your threat management and enhance your security capabilities.
Revolutionizing log collection with Azure Monitor Agent
The much awaited deprecation of the MMA agent is finally here. While still sunsetting, this blog post reviews the advantages of AMA, different deployment options and important updates to your favorite Windows, Syslog and CEF events via AMA data connectors.Enhancing Security Monitoring: Integrating GitLab Cloud Edition with Microsoft Sentinel
Maximize your security operations by combining GitLab Cloud Edition with Microsoft Sentinel. This blog covers how to fill the void of a missing native connector for GitLab in Sentinel. Utilize GitLab's API endpoints, Azure Monitor Data Collection Rules, and Data Collection Endpoints, as well as Azure Logic Apps and Key Vault, to simplify log collection and improve immediate threat identification. Our detailed guide will help you integrate smoothly and strengthen your security defences.Local IPs ( 10.60.0.0/24 ) in ClientIP field in OfficeActivity logs?
Started seeing this more often recently and it started to cause some uptick in alerts across multiple customers (we are an MSP). It seems to me like a backend workflow is failing to write true source IPs to OfficeActivity logs, resulting in some 10.60.0.0/24 IPs being recorded as the ClientIP. Could this be some backend IP belonging to a Microsoft services? This can't be related to the customer since we see the same thing across up to 37 tenants/customers. This includes FileDownloaded operations which is what caused alerts and brought the issue to our attention. To make sure this also wasn't some kind of correlation to device, I checked the logs further and it's happening where IsManagedDevice == false and even anonymous file access. Is anyone else seeing this and can anyone from Microsoft confirm whether this is a mistake or bug somewhere upstream? Sample KQL: // Query 1 OfficeActivity | where TimeGenerated >=ago(30d) | where ipv4_is_private( ClientIP ) | where IsManagedDevice == false | summarize min(TimeGenerated), max(TimeGenerated), Operations=make_set(Operation), NumberUsers=dcount(UserId), make_set(UserId), UserAgents=make_set(UserAgent) by ClientIP // Query 2 OfficeActivity | where TimeGenerated >=ago(60d) | where isnotempty( ClientIP ) and ipv4_is_private( ClientIP ) | summarize count() by bin(TimeGenerated, 1d)
Ingesting Non-Microsoft Cloud Security Data into Microsoft Sentinel for Government & DIB Customers
Microsoft Azure Government customers that are using Microsoft Sentinel to monitor their Azure & Office 365 Tenants, the next logical step in modernizing their SOC Operations is to ingest security data from non-Microsoft Clouds like Google Cloud Platform (GCP) and Amazon Web Services (AWS) to get a holistic picture of their security alerting, monitoring, and response across all cloud environments. This blog series will review how to ingest security data from non-Microsoft clouds into an Azure Government Sentinel instance. Throughout this series, we’ll be covering: FedRamp Cloud Authorizations, AWS ingestion scenarios, and connector architecture. Ingesting AWS Commercial and GovCloud data into Azure Government Sentinel. Ingesting AWS Commercial and GovCloud data into Azure Commercial Sentinel. AWS Ingestion using Cloud Formation Template Ingesting GCP data into Sentinel in either Azure Government or Commercial.
