CVE-2020-15210
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)
Segmentation fault in tensorflow-lite
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.
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) |
|---|---|---|---|---|---|
| < 1.15.4 | affected | Unavailable | Unavailable | Unavailable | None listed |
| >= 2.0.0, < 2.0.3 | affected | Unavailable | Unavailable | Unavailable | None listed |
| >= 2.1.0, < 2.1.2 | affected | Unavailable | Unavailable | Unavailable | None listed |
| >= 2.2.0, < 2.2.1 | affected | Unavailable | Unavailable | Unavailable | None listed |
| >= 2.3.0, < 2.3.1 | affected | Unavailable | Unavailable | Unavailable | None listed |