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Vulnerability details: VCID-7tq1-zhms-yybt
Vulnerability ID VCID-7tq1-zhms-yybt
Aliases CVE-2020-15196
GHSA-pg59-2f92-5cph
PYSEC-2020-119
PYSEC-2020-276
PYSEC-2020-311
Summary In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Status Published
Exploitability None
Weighted Severity None
Risk None
Affected and Fixed Packages Package Details
Weaknesses (3)
No exploits are available.
Exploit Prediction Scoring System (EPSS)
Percentile 0.53759
EPSS Score 0.00302
Published At May 30, 2026, 12:55 p.m.
Date Actor Action Source VulnerableCode Version
2026-05-30T20:19:56.966799+00:00 Pypa Importer Import https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-cpu/PYSEC-2020-276.yaml 38.6.0