CVE-2020-26266
CVE.org · Published
- Record status
- Published
- Identifier year (not publication year)
- 2020
- Source publication
- Source updated
- Imported by cveboard
- Source snapshot
- cve_2026-10-24_midnight_baseline ·
CNA source text (English)
Uninitialized memory access in Eigen types in TensorFlow
In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
Scoped product and version facts
Fix information unknown; no fixed version is derived here. Missing information does not prove that no fix exists.
Exploitation unknown; this catalogue does not assess exploitation.
tensorflow
- Vendor
- tensorflow
- Product
- tensorflow
- Platforms
- Unknown
- Default status
Unknown
| Version (version) | Status (status) | Version scheme (versionType) | Exclusive end (lessThan) | Inclusive end (lessThanOrEqual) | Status changes (at → status) |
|---|---|---|---|---|---|
| < 1.15.5 | affected | Unavailable | Unavailable | Unavailable | None listed |
| >= 2.0.0, < 2.0.4 | affected | Unavailable | Unavailable | Unavailable | None listed |
| >= 2.1.0, < 2.1.3 | affected | Unavailable | Unavailable | Unavailable | None listed |
| >= 2.2.0, < 2.2.2 | affected | Unavailable | Unavailable | Unavailable | None listed |
| >= 2.3.0, < 2.3.2 | affected | Unavailable | Unavailable | Unavailable | None listed |