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| Vulnerability ID | VCID-nekc-1yhs-b7bj |
| Aliases |
CVE-2020-15207
GHSA-q4qf-3fc6-8x34 PYSEC-2020-130 PYSEC-2020-287 PYSEC-2020-322 |
| Summary | In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses `ResolveAxis` to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the `DCHECK` does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 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 |
|---|---|---|---|---|
| 2026-06-02T04:07:06.441589+00:00 | Pypa Importer | Import | https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow/PYSEC-2020-130.yaml | 38.6.0 |