{"dataType": "CVE_RECORD", "cveMetadata": {"state": "PUBLISHED", "cveId": "CVE-2026-42627", "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca", "assignerShortName": "mitre", "dateUpdated": "2026-05-22T17:40:29.276Z", "dateReserved": "2026-04-29T00:00:00.000Z", "datePublished": "2026-05-22T00:00:00.000Z"}, "containers": {"cna": {"providerMetadata": {"orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca", "shortName": "mitre", "dateUpdated": "2026-05-22T17:40:29.276Z"}, "descriptions": [{"lang": "en", "value": "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()->InferOutputShapes(), the BatchToSpaceNdLayer reads beyond the allocated buffer."}], "tags": ["unsupported-when-assigned"], "affected": [{"vendor": "n/a", "product": "n/a", "versions": [{"version": "n/a", "status": "affected"}]}], "references": [{"url": "https://github.com/ARM-software/armnn/blob/main/src/armnn/Tensor.cpp"}, {"url": "https://github.com/ARM-software/armnn/blob/main/src/armnnTfLiteParser/TfLiteParser.cpp"}], "problemTypes": [{"descriptions": [{"type": "text", "lang": "en", "description": "n/a"}]}]}}, "dataVersion": "5.2"}

{}

{}

{}

{"created": "2026-05-22T19:30:44.287910+00:00", "title": "Integer Overflow in ArmNN Tensor Shape Causes Buffer Over\u2011read", "updated": "2026-05-22T19:30:44.287923+00:00", "vendors": [], "weaknesses": ["CWE-680", "CWE-126"]}