Description
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.
Affected products
| Vendor | Product | Affected | Fixed |
|---|---|---|---|
| tensorflow | tensorflow | < 1.15.4, >= 2.0.0, < 2.0.3, >= 2.1.0, < 2.1.2, >= 2.2.0, < 2.2.1, >= 2.3.0, < 2.3.1 | — |
Fixed in Linux distributions
Distributions backport fixes, so the version that fixes this vulnerability differs per release — upgrade to at least the version shown. From the distributions' security trackers and advisories.
openSUSE
Security tracker ↗| Release | Package | Fixed in | Advisory |
|---|---|---|---|
| openSUSE Leap 15.2 | tensorflow2 +3 | 2.1.2-lp152.7.3.1 | openSUSE-SU-2020:1766-1 |
Affected packages
| Ecosystem | Package | Affected | Fixed | Record |
|---|---|---|---|---|
| PyPI | tensorflow | < 1.15.4 | 1.15.4 | GHSA-x9j7-x98r-r4w2 |
| PyPI | tensorflow | >= 2.0.0, < 2.0.3 | 2.0.3 | GHSA-x9j7-x98r-r4w2 |
| PyPI | tensorflow | >= 2.1.0, < 2.1.2 | 2.1.2 | GHSA-x9j7-x98r-r4w2 |
| PyPI | tensorflow | >= 2.2.0, < 2.2.1 | 2.2.1 | GHSA-x9j7-x98r-r4w2 |
| PyPI | tensorflow | >= 2.3.0, < 2.3.1 | 2.3.1 | GHSA-x9j7-x98r-r4w2 |
| PyPI | tensorflow | < 1.15.4 · >= 2.0.0, < 2.0.3 · >= 2.1.0, < 2.1.2 · >= 2.2.0, < 2.2.1 · >= 2.3.0, < 2.3.1 | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 | PYSEC-2020-133 |
| PyPI | tensorflow-cpu | < 1.15.4 | 1.15.4 | GHSA-x9j7-x98r-r4w2 |
| PyPI | tensorflow-cpu | >= 2.0.0, < 2.0.3 | 2.0.3 | GHSA-x9j7-x98r-r4w2 |
| PyPI | tensorflow-cpu | >= 2.1.0, < 2.1.2 | 2.1.2 | GHSA-x9j7-x98r-r4w2 |
| PyPI | tensorflow-cpu | >= 2.2.0, < 2.2.1 | 2.2.1 | GHSA-x9j7-x98r-r4w2 |
| PyPI | tensorflow-cpu | >= 2.3.0, < 2.3.1 | 2.3.1 | GHSA-x9j7-x98r-r4w2 |
| PyPI | tensorflow-cpu | < 1.15.4 · >= 2.0.0, < 2.0.3 · >= 2.1.0, < 2.1.2 · >= 2.2.0, < 2.2.1 · >= 2.3.0, < 2.3.1 | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 | PYSEC-2020-290 |
| PyPI | tensorflow-gpu | < 1.15.4 | 1.15.4 | GHSA-x9j7-x98r-r4w2 |
| PyPI | tensorflow-gpu | >= 2.0.0, < 2.0.3 | 2.0.3 | GHSA-x9j7-x98r-r4w2 |
| PyPI | tensorflow-gpu | >= 2.1.0, < 2.1.2 | 2.1.2 | GHSA-x9j7-x98r-r4w2 |
| PyPI | tensorflow-gpu | >= 2.2.0, < 2.2.1 | 2.2.1 | GHSA-x9j7-x98r-r4w2 |
| PyPI | tensorflow-gpu | >= 2.3.0, < 2.3.1 | 2.3.1 | GHSA-x9j7-x98r-r4w2 |
| PyPI | tensorflow-gpu | < 1.15.4 · >= 2.0.0, < 2.0.3 · >= 2.1.0, < 2.1.2 · >= 2.2.0, < 2.2.1 · >= 2.3.0, < 2.3.1 | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 | PYSEC-2020-325 |
Advisories 1
- openSUSE-SU-2020:1766-1 Security update for tensorflow2 SUSE / openSUSE Security Updates · Feb 4, 2026