{
  "affected": [
    {
      "ecosystem_specific": {
        "urgency": "unimportant"
      },
      "package": {
        "ecosystem": "Debian:12",
        "name": "armnn"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "ecosystem_specific": {
        "urgency": "unimportant"
      },
      "package": {
        "ecosystem": "Debian:13",
        "name": "armnn"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "ecosystem_specific": {
        "urgency": "unimportant"
      },
      "package": {
        "ecosystem": "Debian:14",
        "name": "armnn"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "details": "In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements() in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions using 32-bit unsigned arithmetic without overflow detection, causing GetNumBytes() to return an understated allocation size. During Optimize()-\u003eInferOutputShapes(), the BatchToSpaceNdLayer reads beyond the allocated buffer.",
  "id": "DEBIAN-CVE-2026-42627",
  "modified": "2026-09-14T16:47:35.380202827Z",
  "published": "2026-05-22T18:16:22.593Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://security-tracker.debian.org/tracker/CVE-2026-42627"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "upstream": [
    "CVE-2026-42627"
  ]
}