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Phishing sites keep rising, and security teams are searching for ways to sort suspicious pages at speed. A recent study explores whether small language models (SLMs) can scan raw HTML to catch these threats. The work reviews a range of model sizes and tests how they handle detection tasks while keeping compute demands in check. Although LLM-based website phishing detection is still a relatively new area, it is gaining momentum. Several studies have already reported … More → The post Small language models step into the fight against phishing sites appeared first on Help Net Security.
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