{"id":"PYSEC-2019-204","details":"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.","aliases":["CVE-2018-10055","GHSA-q492-f7gr-27rp","PYSEC-2019-222","PYSEC-2019-229"],"modified":"2023-11-08T03:59:42.779716Z","published":"2019-04-24T17:29:00Z","references":[{"type":"ADVISORY","url":"https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-006.md"},{"type":"ADVISORY","url":"https://github.com/advisories/GHSA-q492-f7gr-27rp"}],"affected":[{"package":{"name":"tensorflow","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.7.1"}]}],"versions":["0.12.0","0.12.0rc0","0.12.0rc1","0.12.1","1.0.0","1.0.1","1.1.0","1.1.0rc0","1.1.0rc1","1.1.0rc2","1.2.0","1.2.0rc0","1.2.0rc1","1.2.0rc2","1.2.1","1.3.0","1.3.0rc0","1.3.0rc1","1.3.0rc2","1.4.0","1.4.0rc0","1.4.0rc1","1.4.1","1.5.0","1.5.0rc0","1.5.0rc1","1.5.1","1.6.0","1.6.0rc0","1.6.0rc1","1.7.0","1.7.0rc0","1.7.0rc1"],"database_specific":{"source":"https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow/PYSEC-2019-204.yaml"}}],"schema_version":"1.7.3"}