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| Vulnerability ID | VCID-7z58-8eek-3fg2 |
| Aliases |
CVE-2022-23560
GHSA-4hvf-hxvg-f67v PYSEC-2022-124 PYSEC-2022-69 |
| Summary | Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. Users are advised to upgrade as soon as possible. |
| Status | Published |
| Exploitability | None |
| Weighted Severity | None |
| Risk | None |
| Affected and Fixed Packages | Package Details |
| System | Score | Found at |
|---|---|---|
| There are no known severity scores. | ||
No EPSS data available for this vulnerability.
| Date | Actor | Action | Source | VulnerableCode Version |
|---|---|---|---|---|
| 2026-06-02T04:16:45.344044+00:00 | Pypa Importer | Import | https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-cpu/PYSEC-2022-69.yaml | 38.6.0 |