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.
Metrics
Affected Vendors & Products
Advisories
| Source | ID | Title |
|---|---|---|
EUVD |
EUVD-2019-0137 | 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. |
Github GHSA |
GHSA-q492-f7gr-27rp | Improper Restriction of Operations within the Bounds of a Memory Buffer in Google TensorFlow |
Fixes
Solution
No solution given by the vendor.
Workaround
No workaround given by the vendor.
References
History
No history.
Status: PUBLISHED
Assigner: mitre
Published:
Updated: 2024-08-05T07:32:00.842Z
Reserved: 2018-04-11T00:00:00
Link: CVE-2018-10055
No data.
Status : Modified
Published: 2019-04-24T17:29:00.270
Modified: 2024-11-21T03:40:44.057
Link: CVE-2018-10055
No data.
OpenCVE Enrichment
No data.
EUVD
Github GHSA