{
  "affects": {
    "artifacts": [
      {
        "name": "Commercial Face Identification Service",
        "type": "System"
      }
    ],
    "deployer": [
      "Commercial Face Identification Service"
    ],
    "developer": []
  },
  "credit": null,
  "data_type": "AVID",
  "data_version": "0.2",
  "description": {
    "lang": "eng",
    "value": "MITRE\u0027s AI Red Team demonstrated a physical-domain evasion attack on a commercial face identification service with the intention of inducing a targeted misclassification.\nThis operation had a combination of traditional ATT\u0026CK enterprise techniques such as finding Valid account, and Executing code via an API - all interleaved with adversarial ML specific attacks.\n"
  },
  "impact": {
    "avid": {
      "lifecycle_view": [
        "L06: Deployment"
      ],
      "risk_domain": [
        "Security"
      ],
      "sep_view": [
        "S0100: Software Vulnerability",
        "S0301: Information Leak",
        "S0403: Adversarial Example"
      ],
      "taxonomy_version": "0.2"
    }
  },
  "last_modified_date": "2023-03-31",
  "metadata": {
    "vuln_id": "AVID-2023-V012"
  },
  "problemtype": {
    "classof": "ATLAS Case Study",
    "description": {
      "lang": "eng",
      "value": "Face Identification System Evasion via Physical Countermeasures"
    },
    "type": "Advisory"
  },
  "published_date": "2023-03-31",
  "references": [
    {
      "label": "Face Identification System Evasion via Physical Countermeasures",
      "type": "source",
      "url": "https://atlas.mitre.org/studies/AML.CS0012"
    }
  ],
  "reports": null
}