Search Results: AIDetection

VirusTotal's AI-powered Code Insight has uncovered a sophisticated phishing campaign hiding malicious JavaScript within seemingly benign SVG files. The attack impersonates Colombia's judicial system, delivering malware through password-protected archives that evade traditional antivirus detection. This discovery highlights both the growing threat of SVG-based attacks and AI's critical role in uncovering hidden threats.

The pervasive use of em dashes in AI-generated text has led human writers to consciously avoid this punctuation mark, fearing their authentic work will be mistaken for LLM 'slop'. This reveals a deeper, unintended consequence: LLMs are influencing human writing style through detection paranoia, forcing creatives into a meta-game of authenticity performance.

Wikipedia volunteers have compiled a detailed guide identifying linguistic patterns and structural quirks that betray AI-generated articles, from puffery like 'rich cultural heritage' to telltale markup errors. This crowdsourced knowledge helps combat low-quality synthetic content as LLMs increasingly infiltrate knowledge ecosystems.

New research reveals that individuals who regularly use ChatGPT for writing develop an uncanny ability to detect AI-generated text, achieving near-perfect accuracy. These 'expert' human detectors significantly outperform commercial AI detectors, even when texts are paraphrased or 'humanized', relying on subtle lexical patterns and stylistic nuances that algorithms miss.