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Vulnerability details: VCID-rbuk-192h-vyaj
Vulnerability ID VCID-rbuk-192h-vyaj
Aliases CVE-2018-21233
GHSA-h98h-8mxr-m8gx
PYSEC-2020-253
PYSEC-2020-269
PYSEC-2020-304
Summary TensorFlow before 1.7.0 has an integer overflow that causes an out-of-bounds read, possibly causing disclosure of the contents of process memory. This occurs in the DecodeBmp feature of the BMP decoder in core/kernels/decode_bmp_op.cc.
Status Published
Exploitability None
Weighted Severity None
Risk None
Affected and Fixed Packages Package Details
Weaknesses (0)
There are no known CWE.
System Score Found at
There are no known severity scores.
Reference id Reference type URL
https://github.com/advisories/GHSA-h98h-8mxr-m8gx
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-001.md
https://github.com/tensorflow/tensorflow/commit/49f73c55d56edffebde4bca4a407ad69c1cae433
No exploits are available.
There are no known vectors.

No EPSS data available for this vulnerability.

Date Actor Action Source VulnerableCode Version
2026-06-02T04:06:34.589234+00:00 Pypa Importer Import https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2020-304.yaml 38.6.0