From Russian GRU operations to Chinese espionage campaigns, AI is transforming cyber warfare. But that change is a bit more ...
AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...
How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to distribute credential‑stealing payloads.
Two malware campaigns weaponize open-source software to target executives and cloud systems, combining social engineering ...
Advanced persistent threat (APT) groups have deployed new tools against a variety of targets, highlighting the increasing ...
Agentic AI tools like OpenClaw promise powerful automation, but a single email was enough to hijack my dangerously obedient ...
Two fake spellchecker packages on PyPI hid a Python RAT in dictionary files, activating malware on import in version 1.2.0.
Researchers hacked Moltbook's database in minutes, exposing emails, private messages, and API keys tied to its AI agents network.
Many times when performing penetration tests, there is no lack of tools for conducting penetration testing, but rather the issue relates to performing penetration testing in a fractured way.
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