Identifying Ransomware Final Stage activities with KQL Queries

This article discusses common final-stage techniques used by ransomware attackers to evade detection, disable security measures, and cover their tracks. Detecting activities such as system modifications, data exfiltration, log cleaning, backup deletion, and ransom note delivery is crucial for effective incident response. #bcdedit #PowerShell #VSSadmin #RansomwareExtensions

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Pre-CVE Threat Detection: 8 Examples Identifying Malicious Activity Prior to Public Disclosure of a Vulnerability

Blind Eagle, also known as APT-C-36, has been targeting Colombian organizations and other Latin American sectors since 2018 using phishing campaigns and Remote Access Trojans with sophisticated methods to evade detection. A recent 2024-2025 campaign exploited a Microsoft Windows vulnerability via malicious URLs and leveraged WebDAV protocol for payload delivery and data exfiltration, with Darktrace detecting suspicious activity and highlighting the need for autonomous response capabilities. #BlindEagle #APT-C-36 #Remcos #CVE-2024-43451

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CVE-2025-49144: Notepad++ vulnerability allows full system compromise

A critical vulnerability has been discovered in Notepad++ v8.8.1, allowing attackers to gain system-level access through malicious manipulation of executable files during installation. This exploit involves binary planting of a malicious regsvr32.exe, which can lead to arbitrary code execution and full system compromise. #NotepadPlusPlus #CVE-2025-49144

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Accelerating Cloud Cryptography: Optimizing AWS-LC with Intel’s AVX-512

This article explains how AWS-LC uses AVX-512 optimizations to enhance cloud cryptography performance, particularly in AES-GCM and AES-XTS modes. These improvements significantly boost encryption throughput, reduce CPU utilization, and support scalable, high-speed data security in cloud environments. #AVX512 #AWSLC #AESGCM #AESXTS #cloudcryptography

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Stop API Key Leaks Before They Cost You — Meet KeySentry

KeySentry is an open-source CLI tool designed to detect leaked API keys and sensitive files in GitHub repositories and local projects, helping prevent account compromises and financial losses. It uses regex patterns, filename flags, and JSON logging to identify secrets such as AWS keys, API tokens, and private keys before they are exploited. #APILeaks #GitHubSecrets #CyberSecurityTools

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