{"id":"CVE-2018-10055","aliases":["EUVD-2019-0137","GHSA-q492-f7gr-27rp","PYSEC-2019-204","PYSEC-2019-222","PYSEC-2019-229"],"status":"published","title":"Improper Restriction of Operations within the Bounds of a Memory Buffer in Google TensorFlow","description":"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.","severity":{"version":"3.0","score":8.1,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:H","level":"high","assessor":"primary","from":"nvd"},"epss":{"day":"2026-11-09","score":0.00537,"percentile":0.45519,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":true},"cwes":["CWE-119"],"published":"2019-04-24T16:17:53Z","modified":"2026-10-20T10:54:17Z","fixes":[{"ecosystem":"PyPI","package":"tensorflow","fixed_in":["1.7.1"],"sources":["ghsa","osv"]},{"ecosystem":"PyPI","package":"tensorflow-gpu","fixed_in":["1.7.1"],"sources":["ghsa","osv"]},{"ecosystem":"PyPI","package":"tensorflow-cpu","fixed_in":["1.7.1"],"sources":["osv"]}],"affected":[{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"1.1.0"},{"fixed":"1.7.1"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow-gpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"1.1.0"},{"fixed":"1.7.1"}]}]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"1.1.0"},{"fixed":"1.7.1"}]}],"versions":["1.1.0","1.2.0","1.2.1","1.3.0","1.4.0","1.4.1","1.5.0","1.5.1","1.6.0","1.7.0"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-gpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"1.1.0"},{"fixed":"1.7.1"}]}],"versions":["1.1.0","1.2.0","1.2.1","1.3.0","1.4.0","1.4.1","1.5.0","1.5.1","1.6.0","1.7.0"]},{"source":"osv","ecosystem":"PyPI","package":"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"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.7.1"}]}]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-gpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.7.1"}]}],"versions":["0.12.0","0.12.1","1.0.0","1.0.1","1.1.0","1.2.0","1.2.1","1.3.0","1.4.0","1.4.1","1.5.0","1.5.1","1.6.0","1.7.0"]}],"products":[{"vendor":"google","product":"tensorflow"}],"references":[{"url":"https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-006.md","tags":["x_refsource_CONFIRM","x_transferred","Patch","Third Party Advisory","fix","web","advisory"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2018-10055","tags":["advisory"]},{"url":"https://github.com/tensorflow/tensorflow/commit/c89ab82a82585cdaa90bf4911980e9e845909e78","tags":["web"]},{"url":"https://github.com/advisories/GHSA-q492-f7gr-27rp","tags":["advisory"]},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2019-222.yaml","tags":["web"]},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2019-229.yaml","tags":["web"]},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2019-204.yaml","tags":["web"]},{"url":"https://github.com/tensorflow/tensorflow","tags":["package"]}],"sources":{"cve":[{"id":"CVE-2018-10055","description":"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.","status":"published","published":"2019-04-24T16:17:53Z","modified":"2024-08-05T07:32:00.842Z","updated_at":"2026-11-02T14:35:01.952568Z"}],"euvd":[{"id":"EUVD-2019-0137","description":"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.","status":"published","published":"2019-04-24T16:17:53Z","modified":"2024-08-05T07:32:00Z","updated_at":"2026-11-03T02:39:59.5072Z"}],"ghsa":[{"id":"GHSA-q492-f7gr-27rp","title":"Improper Restriction of Operations within the Bounds of a Memory Buffer in Google TensorFlow","description":"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.","status":"published","published":"2019-04-30T15:37:31Z","modified":"2024-10-28T14:10:11Z","cvss":[{"version":"4.0","score":7.2,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N","level":"high"},{"version":"3.0","score":8.1,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:H","level":"high"}],"cwes":["CWE-119"],"updated_at":"2026-11-02T14:38:13.90937Z"}],"nvd":[{"id":"CVE-2018-10055","description":"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.","status":"published","published":"2019-04-24T17:29:00.27Z","modified":"2026-06-17T01:33:25.353Z","cvss":[{"version":"3.0","score":8.1,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:H","level":"high","assessor":"primary"},{"version":"2.0","score":5.8,"vector":"AV:N/AC:M/Au:N/C:P/I:N/A:P","level":"medium","assessor":"primary"}],"cwes":["CWE-119"],"updated_at":"2026-11-02T14:04:55.136632Z"}],"osv":[{"id":"CVE-2018-10055","description":"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.","status":"published","published":"2019-04-24T17:29:00.27Z","modified":"2026-10-20T10:54:17.871177288Z","cvss":[{"version":"3.0","score":8.1,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:H","level":"high"}],"updated_at":"2026-11-02T15:44:07.641418Z"},{"id":"GHSA-q492-f7gr-27rp","title":"Improper Restriction of Operations within the Bounds of a Memory Buffer in Google TensorFlow","description":"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.","status":"published","published":"2019-04-30T15:37:31Z","modified":"2024-10-28T14:34:46.932897Z","cvss":[{"version":"3.0","score":8.1,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:H","level":"high"},{"version":"4.0","score":7.2,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N","level":"high"}],"cwes":["CWE-119"],"updated_at":"2026-11-02T15:46:54.055966Z"},{"id":"PYSEC-2019-204","description":"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.","status":"published","published":"2019-04-24T17:29:00Z","modified":"2023-11-08T03:59:42.779716Z","updated_at":"2026-11-02T15:52:52.192131Z"},{"id":"PYSEC-2019-222","description":"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.","status":"published","published":"2019-04-24T17:29:00Z","modified":"2023-11-08T03:59:42.779716Z","updated_at":"2026-11-02T15:52:52.192131Z"},{"id":"PYSEC-2019-229","description":"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.","status":"published","published":"2019-04-24T17:29:00Z","modified":"2026-06-10T17:02:42.810413264Z","updated_at":"2026-11-02T15:52:52.192131Z"}]}}
