Invalid memory access and/or a heap buffer overflow in the TensorFlow XLA compiler in Google TensorFlow before 1.7.1 could cause a crash or read from other parts of process memory via a crafted configuration file.
{
"nvd_published_at": "2019-04-24T17:29:00Z",
"severity": "HIGH",
"github_reviewed_at": "2019-04-30T15:15:53Z",
"github_reviewed": true,
"cwe_ids": [
"CWE-119"
]
}