科技前沿
How an Atlanta Suburb Ended Up Sharing Flock Data With More Than 2,000 Organizations
Alpharetta, Georgia, cops share data with thousands of Flock users, ranging from federal agencies to a fish and wildlife commission. The reasons why show how vast—and invasive—the network has become.
AI 资讯
Waffle House Teleporter Gregg Phillips Is Still on the Trump Administration’s Payroll
In June, a FEMA official infamous for claiming to have teleported to a Waffle House was reportedly ousted. He’s still employed by the government, though—and meeting with a Trump fixer.
科技前沿
The County Prosecutors Who Became ICE Informants
Illinois prosecutors shared defendants’ personal data with federal immigration agents without criminal warrants, public disclosure, or legislative oversight.
科技前沿
A MAGA County’s Top Election Official Wants to Hire Election Denial Superstar Tina Peters
Tina Peters was convicted of seven counts related to election interference in 2024. Now, she’s fielding an offer from a county that’s become a hotbed of voting-related conspiracy theories.
AI 资讯
Module 3: Information Gathering and Vulnerability Scanning
CompTIA PenTest+ / Ethical Hacking Certification Series Professional Reference Guide — GitHub Edition Covers: Passive Reconnaissance · OSINT · DNS · Social Media · Cryptographic Analysis · Shodan Table of Contents 3.0 Introduction 3.1 Performing Passive Reconnaissance 3.1.1 Overview 3.1.2 Active Reconnaissance vs. Passive Reconnaissance 3.1.3 The OSINT Methodology — How Professionals Think 3.1.4 OSINT Tools — The Complete Professional Arsenal 3.1.5 DNS Lookups — Deep Dive 3.1.6 DNS Reconnaissance — Advanced Techniques 3.1.7 Identification of Technical and Administrative Contacts 3.1.8 WHOIS Intelligence — Extracting Maximum Value 3.1.9 DNS Lookups — Lab-Level Practical Reference 3.1.10 Cloud vs. Self-Hosted Applications and Related Subdomains 3.1.11 Social Media Scraping 3.1.12 Employee Intelligence Gathering 3.1.13 Cryptographic Flaws 3.1.14 Finding Information from SSL Certificates 3.1.15 Company Reputation and Security Posture 3.1.16 File Metadata 3.1.17 Web Archiving, Caching, and Public Code Repositories 3.1.18 Finding Out About the Organization — Aggregation Techniques 3.1.19 Advanced Searches — Google Dorking and Beyond 3.1.20 Open-Source Intelligence (OSINT) Gathering — Frameworks and Automation 3.1.21 Shodan — The Search Engine for Everything Connected 3.1.22 Breach Data Intelligence — Leaked Credentials and Exposure Monitoring 3.0 Introduction Module Overview: Information Gathering and Vulnerability Scanning Module Objective: Perform information gathering and vulnerability scanning activities at a professional, senior-level standard. Before a single exploit is launched, before a single payload is crafted, every professional penetration tester invests significant time in a discipline that separates competent practitioners from exceptional ones: information gathering . The reconnaissance phase is the intelligence foundation upon which the entire attack strategy is built. The quality of your reconnaissance directly determines the quality of your attack. Why T
AI 资讯
Google Earth risked ruin with retracted AI tool for making fake satellite pics
“What on earth is Google doing?” Misinformation fears spur walk-back of AI tool.
开源项目
AWS Launches Amazon GuardDuty Investigation Agent to Automate Threat Triage
AWS released a public preview of the GuardDuty investigation agent, which correlates findings, 90-day activity logs, and resource topologies into structured reports with risk ratings, confidence scores, and MITRE ATT&CK classification. It is reachable through the AWS MCP Server, so investigations can run from agentic tooling. Preview quotas cap usage at 10 investigations per account per day. By Steef-Jan Wiggers
AI 资讯
AWS Introduces CloudFormation Express Mode for Faster Infrastructure Deployments
AWS has recently introduced CloudFormation express mode, a deployment option that can reduce infrastructure deployment times by marking stack operations complete once resource configuration is applied, rather than waiting for full resource stabilization. By Renato Losio
AI 资讯
The Group Behind ‘2000 Mules’ Is Back With Another Election Conspiracy Film
True the Vote is working with a Detroit pastor to produce a new documentary called Trap, based on claims that have already been thrown out in court.
AI 资讯
Judge: Trump can’t deport researchers just for working in content moderation
Disinformation researchers praise ruling blocking Trump visa denials and deportations.
开发者
Cloudflare Ships Agent Skills for Zero Trust Deployment and Migration
Cloudflare released the Cloudflare One stack, an open-source library of agent skills for planning, deploying, and managing Zero Trust environments. The skills include automated migration logic for Zscaler and Palo Alto Networks, the same logic used in Cloudflare's Descaler program that has moved enterprise customers in hours rather than months. By Steef-Jan Wiggers
开发者
AWS Introduces CDK Mixins for Composable Infrastructure Abstractions
AWS recently announced CDK Mixins, a new AWS CDK feature that lets developers add reusable capabilities like security, monitoring, and configuration to AWS resources. Mixins work across different construct types, making infrastructure code more flexible and reusable. By Renato Losio
AI 资讯
China Didn't Make People Hate Data Centers
GOP lawmakers, tech investors, and even OpenAI have tied the anti-data center movement in the US to Chinese interference. Experts say it’s much more complicated than that.
AI 资讯
Claude Cowork vs agents cloud : ce que lIA locale change pour les equipes tech
Claude Cowork est sorti en 2026 et le distinguer des agents cloud classiques change tout pour les equipes techniques. Deux modeles, deux philosophies Un agent cloud (ChatGPT Operator, Mistral Agents, Gemini pour Workspace) fait des appels API vers des serveurs distants. Vos donnees quittent votre machine. La session prend fin quand vous fermez le navigateur. Claude Cowork fonctionne differemment : il tourne sur votre Mac, lit votre systeme de fichiers en direct, execute des bash commands, et continue sa tache quand vous fermez le laptop. Ce que cela change pour les equipes tech Contexte reel. Cowork peut lire vos logs, vos configs, vos repos locaux directement, sans copier-coller. Execution longue distance. Vous lancez un refactoring sur 40 fichiers, vous allez en reunion. La tache continue. Impossible avec un chatbot classique. Isolation des donnees. Pour les equipes qui travaillent sur des donnees sensibles (sante, legal, finance), garder les donnees en local repond a une contrainte non negociable. Les limites a connaitre Cowork necessite un Mac recent (Apple Silicon recommande). Le context window est partage entre linterface et les fichiers lus. Pour des taches qui necessitent une recherche web temps reel, un agent cloud reste complementaire. Pattern que je recommande aux equipes Dans les formations que janime pour des equipes de 10 a 100 personnes, on structure generalement comme ca : Agent local (Cowork) pour tout ce qui touche le codebase, les fichiers, les automatisations internes. Agent cloud pour les recherches, les comparaisons marche, les taches qui ont besoin dun acces web. Un workflow clair pour decider lequel utiliser selon la nature de la tache. Le point cle : ne pas les traiter comme interchangeables. Ce sont deux outils avec des forces differentes. Ce que les chiffres montrent Dans les equipes que jai accompagnees sur 18 mois, celles qui ont adopte ce pattern produisent en moyenne 40 % de code de configuration en moins de temps, avec moins de bugs l