{
  "id": 14385238,
  "title": "Bytes to Threats: Byte-Sequence Transformer For Malware Detection",
  "url": "https://urgent.news/2026/10/13/bytes-to-threats-byte-sequence-transformer-for-malware-detection",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-13T17:37:17.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.18787v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Existing malware detection approaches heavily rely on handcrafted features derived from static or dynamic analysis of the executable files. These methods require specialized domain expertise, dedicated analysis tools, and time-consuming analysis, which limits their scalability and robustness in the face of the increasing complexity and diversity of modern malware. Consequently, there is a growing…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}