163 matches found
ossem-power-up
OSSEM A tool to assess data quality, built on top of the awesome OSSEM project. Mission Answer the question: I want to start hunting ATT&CK techniques, what log sources and events are more suitable? Create transparency on the strengths and weaknesses of your log sources Provide an easy way to...
ossem-power-up
OSSEM 一个基于优秀的 OSSEM 项目构建的数据质量评估工具。 目标 回答这个问题：我想开始狩猎 ATT&CK 技术，哪些日志源和事件更合适？ 透明化你的日志源的优势和劣势 提供一种简单的方法来评估你的日志 OSSEM Power-up 概述 Power-up 使用 OSSEM 检测数据模型（DDM）作为其数据质量评估的基础。主要原因是它提供了一种结构化的方式，将 ATT&CK 数据源、通用信息模型实体（CIM）和 数据字典（事件）相互关联起来。 对于那些不熟悉 DDM 结构的人，这里有一个示例： ATT&CK 数据源| 子数据源| 源数据对象| 关系| 目标数据对象| Event...
CVE-2026-57106
Server-side request forgery ssrf in Data Quality allows an unauthorized attacker to elevate privileges over a network...
CVE-2026-57106
CVE-2026-57106 describes a server-side request forgery (SSRF) in the Data Quality component that can allow an unauthenticated attacker to elevate privileges over a network. The confirmed CVSS 3.1 vector is AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H with a base score of 10.0 (CRITICAL), indicating networ...
EUVD-2026-48601
Server-side request forgery ssrf in Data Quality allows an unauthorized attacker to elevate privileges over a network...
CVE-2026-57106 Data Quality Elevation of Privilege Vulnerability
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CVE-2026-57106 Data Quality Elevation of Privilege Vulnerability
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CVE-2026-57106
Server-side request forgery ssrf in Data Quality allows an unauthorized attacker to elevate privileges over a network...
PT-2026-64314
Server-side request forgery ssrf in Data Quality allows an unauthorized attacker to elevate privileges over a network...
Data Quality Elevation of Privilege Vulnerability
Server-side request forgery ssrf in Data Quality allows an unauthorized attacker to elevate privileges over a network...
KLA91175 Multiple vulnerabilities in Microsoft Azure
Multiple vulnerabilities were found in Microsoft Azure. Malicious users can exploit these vulnerabilities to bypass security restrictions, execute arbitrary code, gain privileges, obtain sensitive information. Below is a complete list of vulnerabilities: 1. A remote code execution vulnerability i...
Inside the Advisory Database and what happens when vulnerability volume breaks records
In May 2026, the GitHub Advisory Database published 1,560 reviewed advisories --more than five times our typical monthly output and the highest in its history. And it still wasn't enough to keep up. Over the past few months, the vulnerability ecosystem has shifted in a fundamental way. Input acro...
Cybersecurity of Electric Vehicle Charging Infrastructure: Recent Advances, Open Challenges, and Future Directions
Electric Vehicles EVs have emerged as significant disruptors in the transportation sector over the past decade. Their growing popularity and adoption are accompanied by capital expenditures to deploy charging infrastructure. EV charging infrastructure sits at the intersection of the power grid, t...
Threat Intel Scraping Without Burning Your Cover or Your Stack
Threat Intel Scraping sounds simple until it isn’t, here’s how cybersecurity teams avoid blocks, bad data, and unnecessary risk...
Why Most AI Deployments Stall After the Demo
The fastest way to fall in love with an AI tool is to watch the demo. Everything moves quickly. Prompts land cleanly. The system produces impressive outputs in seconds. It feels like the beginning of a new era for your team. But most AI initiatives don't fail because of bad technology. They stall...
New Microsoft Purview innovations for Fabric to safely accelerate your AI transformation
As organizations adopt AI, security and governance remain core primitives for safe AI transformation and acceleration. After all, data leaders are aware of the notion that: Your AI is only as good as your data. Organizations are skeptical about AI transformation due to concerns of sensitive data...
New Microsoft Purview innovations for Fabric to safely accelerate your AI transformation
As organizations adopt AI, security and governance remain core primitives for safe AI transformation and acceleration. After all, data leaders are aware of the notion that: Your AI is only as good as your data. Organizations are skeptical about AI transformation due to concerns of sensitive data...
An Evaluation Framework for Network IDS/IPS Datasets: Leveraging MITRE ATT&CK and Industry Relevance Metrics
The performance of Machine Learning ML and Deep Learning DL-based Intrusion Detection and Prevention Systems IDS/IPS is critically dependent on the relevance and quality of the datasets used for training and evaluation. However, current AI model evaluation practices for developing IDS/IPS focus...