Category: Security

  • Netizen: Monday Security Brief (6/15/2026)

    Today’s Topics: Self-Replicating AI Worm Shows Malware Can Reason Its Way Through a Network U.S. Order Pulling Anthropic’s Fable 5 and Mythos 5 Turns AI Cyber Capability Into a National Security Fight How can Netizen help? Self-Replicating AI Worm Shows Malware Can Reason Its Way Through a Network University of Toronto researchers have demonstrated a…

  • How Living-Off-the-Land Attacks Bypass Traditional Security Controls

    Living-off-the-land attacks have become one of the clearest examples of a security problem that cannot be solved by malware detection alone. Instead of bringing obvious malicious tooling into an environment, attackers use what is already present: signed Windows binaries, administrative consoles, scripting engines, remote management services, cloud command-line tools, backup utilities, identity platforms, and trusted…

  • Netizen: Monday Security Brief (6/8/2026)

    Today’s Topics: LLM Agent Used in Post-Exploitation Attack After Marimo Vulnerability Exploit Internet-Exposed Tank Gauges Become a Cyber Risk for U.S. Fuel and Industrial Sites How can Netizen help? LLM Agent Used in Post-Exploitation Attack After Marimo Vulnerability Exploit A threat actor was observed using a large language model agent to conduct post-exploitation activity after…

  • Kali365: The Phishing Kit Built for Microsoft 365 Token Theft

    Kali365 is the latest reminder that Microsoft 365 phishing has moved beyond fake login pages and stolen passwords. According to the FBI, Kali365 is a phishing-as-a-service platform first seen in April 2026 and distributed mainly through Telegram. Its purpose is direct: help attackers obtain Microsoft 365 OAuth access and refresh tokens, bypass common MFA controls,…

  • Microsoft Faces Researcher Backlash After Public Zero-Day Releases

    Microsoft is facing criticism from the cybersecurity community after a public dispute with an anonymous researcher escalated into a series of Windows zero-day releases, emergency mitigation guidance, and a broader argument over how major vendors handle vulnerability disclosure. The researcher, known publicly as Chaotic Eclipse or Nightmare-Eclipse, has published multiple proof-of-concept exploits for Windows flaws…

  • Netizen: Monday Security Brief (6/1/2026)

    Today’s Topics: GitHub Investigates Internal Repository Breach After Employee Device Compromise Malicious npm Package Steals OpenAI Codex Tokens from Developer Systems How can Netizen help? GitHub Investigates Internal Repository Breach After Employee Device Compromise GitHub is investigating unauthorized access to its internal repositories after the threat actor known as TeamPCP listed what it claimed to…

  • Exposed APIs, Leaked Keys, and the New Attack Surface Created by Vibe Coding

    APIs have become one of the most important layers of modern software architecture. They connect web applications, mobile apps, SaaS platforms, identity providers, payment processors, cloud services, analytics systems, artificial intelligence tools, internal databases, and third-party integrations. For most organizations, APIs are no longer a secondary concern sitting behind the application. They are the application’s…

  • What AI Risk Actually Means for Most Organizations

    AI risk is often discussed like it is one massive category, but most organizations face a narrower and more practical set of problems: sensitive data entering tools that were never approved, AI features being added into business platforms without security review, employees relying on generated answers without validation, developers embedding models into workflows with weak…

  • What Makes a Detection Rule Too Fragile

    A fragile detection rule is a rule that works only under narrow, ideal conditions. It may fire in a lab, catch one known proof-of-concept, or match a specific command from a public report, yet fail as soon as an attacker changes syntax, tooling, parent process, file path, argument order, encoding, log source, or execution method.…

  • AI-Powered Phishing: Why Traditional Detection Keeps Missing It

    AI-powered phishing is forcing security teams to rethink one of the oldest assumptions in email defense: that malicious messages usually look different from legitimate ones. For years, defenders trained users and tuned controls around obvious signs of fraud, including awkward grammar, misspelled domains, generic greetings, suspicious attachments, and low-quality branding. That model still catches plenty…