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", "cwe_ids": [ "CWE-119" ], "severity": "HIGH", "github_reviewed": true, "github_reviewed_at": "2019-04-30T15:15:53Z" }