{
 "id": "AIR-2022-0030",
 "slug": "adversarial-evasion-of-kaspersky-antimalware-neural-networks",
 "title": "Adversarial Evasion of Kaspersky Antimalware Neural Networks",
 "summary": "Researchers exploited feature knowledge under a gray-box scenario to successfully evade detection for adversarially modified malware files. The work demonstrated how feature knowledge alone is sufficient for adversarial attacks on security ML models.",
 "type": "attack_on_ai",
 "categories": [
  "adversarial_evasion"
 ],
 "severity": 1,
 "targets": [
  "enterprise_deployment"
 ],
 "products": [
  "Kaspersky Antimalware ML"
 ],
 "incident_date": "2021-06-23",
 "incident_date_precision": "day",
 "first_reported": "2022-02-03",
 "sources": [
  {
   "url": "https://atlas.mitre.org/studies/AML.CS0014",
   "publisher": "MITRE ATLAS",
   "title": "Confusing Antimalware Neural Networks",
   "published_at": "2022-02-03"
  },
  {
   "url": "https://securelist.com/how-to-confuse-antimalware-neural-networks-adversarial-attacks-and-protection/102949",
   "publisher": "Kaspersky Securelist",
   "title": "Article, \"How to confuse antimalware neural networks. Adversarial attacks and protection\"",
   "published_at": "2022-02-03"
  }
 ],
 "source_count": 2,
 "confidence": 0.95,
 "status": "published",
 "origin": "seed_atlas",
 "tags": [
  "adversarial-evasion",
  "malware-detection",
  "gray-box"
 ],
 "created_at": "2026-10-18T06:55:08.239Z",
 "updated_at": "2026-10-18T06:55:08.239Z"
}