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Vulnerability details: VCID-dumr-5w15-kbfg
Vulnerability ID VCID-dumr-5w15-kbfg
Aliases CVE-2020-15198
GHSA-jc87-6vpp-7ff3
PYSEC-2020-121
PYSEC-2020-278
PYSEC-2020-313
Summary In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. 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 (2)
No exploits are available.
Exploit Prediction Scoring System (EPSS)
Percentile 0.37767
EPSS Score 0.00169
Published At May 30, 2026, 12:55 p.m.
Date Actor Action Source VulnerableCode Version
2026-05-30T20:19:48.600228+00:00 Pypa Importer Import https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2020-313.yaml 38.6.0