惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

F
Fortinet All Blogs
爱范儿
爱范儿
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
B
Blog
WordPress大学
WordPress大学
Jina AI
Jina AI
GbyAI
GbyAI
aimingoo的专栏
aimingoo的专栏
N
Netflix TechBlog - Medium
腾讯CDC
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
阮一峰的网络日志
阮一峰的网络日志
The GitHub Blog
The GitHub Blog
V
Visual Studio Blog
Google DeepMind News
Google DeepMind News
月光博客
月光博客
博客园 - Franky
Y
Y Combinator Blog
MyScale Blog
MyScale Blog
大猫的无限游戏
大猫的无限游戏
Martin Fowler
Martin Fowler
雷峰网
雷峰网
小众软件
小众软件
H
Hackread – Cybersecurity News, Data Breaches, AI and More

Intel 471 Blog

TeamPCP Supply Chain Attacks Turning Geopolitical Tension into Actionable Intelligence CVE-2025-68613: Zerobot botnet exploits critical vulnerability impacting n8n AI orchestration platform Introducing Cyber Threat Exposure Bundle: A Unified Approach to External Risk CVE-2026-20127: Critical Cisco SD-WAN vulnerability exploited in wild Handala Threat Group OpenClaw: A viral AI assistant and a magnet for infostealer malware and ClickFix trickery Israeli, US strikes against Iran triggers a surge in hacktivist activity CVE-2026-1731: Finding a critical RCE in an age of AI-driven vulnerability research Born to bypass MFA: Taking down Tycoon 2FA The UK Cyber Security Resilience Bill How AI and the human advantage beat tomorrow’s threats Winter Olympics 2026: Hacktivism Surges Ahead of Protests and Suspected Sabotage How Threat Hunting and “Good” Metrics Help The Business Likely fake ransomware operator 0APT causes panic — Our analysis Hunting APTs: from state policy to TTPs CrazyHunter Ransomware DevMan Ransomware Introducing HUNTER Tuning: a New Tool for Driving Behavioral Threat Hunt Detections Battling check fraud in the U.S. Gootloader Malware Update Shai-Hulud Worm 2.0 New FvncBot Android banking trojan targets Poland White Paper Preview: Black "Fraud Day” and Beyond — The Key Cyber Threats Facing the Retail Sector this Holiday Season Threat hunting case study: Detecting IAB activity Using deception to extract cyber threat intelligence Lynx Ransomware Qilin Ransomware Group ClickFix: Tricking users into installing infostealers Cybercrime Takedowns: Trust, Partnerships and Focus
Windows Discovery and Execution Processes - Excessive Use
Intel 471 · 2021-11-19 · via Intel 471 Blog

THREAT DESCRIPTION - Windows Discovery and Execution Processes

When malware or an adversary compromise a system, they often employ Excessive Windows discovery and execution processes, which are binaries native to Windows systems (LOLB, Living off the Land Binaries), to scope out the system and network that they infiltrated, gain credentials, or establish persistence. This includes gathering information on the host and domain they landed on, or using tools such as schtasks to means of maintaining access to the system using those Windows discovery and execution processes. The reason they often utilize binaries native to Windows to accomplish this is due to them appearing less conspicuous and more legitimate in comparison to custom tools, in addition to anti-virus and other endpoint protection not alerting on them.

MITRE ATT&CK

Tactic: Discovery

Techniques: System Network Configuration Discovery (T1016)

MITRE ATT&CK Description

Adversaries may look for details about the network configuration and settings, such as IP and/or MAC addresses, of systems they access or through information discovery of remote systems. Several operating system administration utilities exist that can be used to gather this information. Examples include Arp, ipconfig/ifconfig, nbtstat, and route.Adversaries may use the information from System Network Configuration Discovery during automated discovery to shape follow-on behaviors, including determining certain access within the target network and what actions to do next.MITRE ATT&CK

Get the Free Hunt Packages!

Check Out Other Emerging Threats >