A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.

Technological advances and an erosion of trust have transformed the way news unfolds online, distorting shared reality.

How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to distribute credential‑stealing payloads.

So, how can you spot an AI image? Here are six signs for spotting the fakes, plus my favorite free AI image detector.

A fake VS Code extension posing as a Moltbot AI assistant installed ScreenConnect malware, giving attackers persistent remote ...

Two fake spellchecker packages on PyPI hid a Python RAT in dictionary files, activating malware on import in version 1.2.0.

Despite video evidence that Minneapolis nurse Alex Pretti was holding his phone before immigration officers shot and killed him, an image spreading on social media appears to show him wielding a ...

Researchers studying cybersecurity have discovered a new and sophisticated phishing effort that spreads dangerous payloads via social media private messaging, ...

A malvertising campaign is using a fake ad-blocking Chrome and Edge extension named NexShield that intentionally crashes the ...

Abstract: With the proliferation of social media platforms, where users are free to express themselves and share content, the detection of fake news in text has become an important issue. The ...

Baltimore school's AI weapons detection system causes concern for city leaders Trump’s pardon of convicted woman is the second time he’s erased her sentence in a criminal case Greenland's only US ...

Abstract: With the rapid rise of short video social platforms, the spread of fake news videos has become a global challenge. Short videos, which integrate multiple modalities such as text, images, and ...