Search for vulnerabilities
| 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 |
| System | Score | Found at |
|---|---|---|
| epss | 0.00169 | https://api.first.org/data/v1/epss?cve=CVE-2020-15198 |
| cvssv3.1_qr | MODERATE | https://github.com/advisories/GHSA-jc87-6vpp-7ff3 |
| cvssv3.1_qr | MODERATE | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3 |
| 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 |