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| Vulnerability ID | VCID-7jq4-ayzc-w3eu |
| Aliases |
CVE-2020-15210
GHSA-x9j7-x98r-r4w2 PYSEC-2020-133 PYSEC-2020-290 PYSEC-2020-325 |
| Summary | In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. |
| Status | Published |
| Exploitability | None |
| Weighted Severity | None |
| Risk | None |
| Affected and Fixed Packages | Package Details |
| There are no known CWE. |
| System | Score | Found at |
|---|---|---|
| There are no known severity scores. | ||
No EPSS data available for this vulnerability.
| Date | Actor | Action | Source | VulnerableCode Version |
|---|---|---|---|---|
| 2026-06-02T04:07:22.737296+00:00 | Pypa Importer | Import | https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-cpu/PYSEC-2020-290.yaml | 38.6.0 |