Description
In affected versions of TensorFlow the tf.raw_ops.DataFormatVecPermute API does not validate the src_format and dst_format attributes. The code assumes that these two arguments define a permutation of NHWC. This can result in uninitialized memory accesses, read outside of bounds and even crashes. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
Affected products
| Vendor | Product | Affected | Fixed |
|---|---|---|---|
| tensorflow | tensorflow | < 1.15.5, >= 2.0.0, < 2.0.4, >= 2.1.0, < 2.1.3, >= 2.2.0, < 2.2.2, >= 2.3.0, < 2.3.2 | — |
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.
SUSE
Security tracker ↗| Release | Package | Fixed in | Advisory |
|---|---|---|---|
| SUSE Package Hub 15 SP3 | bazel-skylib1.0.3 | 1.0.3-bp153.2.1 | openSUSE-SU-2022:10014-1 |
| SUSE Package Hub 15 SP3 | bazel3.7 | 3.7.2-bp153.4.1 | openSUSE-SU-2022:10014-1 |
| SUSE Package Hub 15 SP3 | tensorflow2 +3 | 2.6.0-bp153.2.3.1 | openSUSE-SU-2022:10014-1 |
openSUSE
Security tracker ↗| Release | Package | Fixed in | Advisory |
|---|---|---|---|
| openSUSE Leap 15.3 | bazel-skylib1.0.3 | 1.0.3-bp153.2.1 | openSUSE-SU-2022:10014-1 |
| openSUSE Leap 15.3 | bazel3.7 | 3.7.2-bp153.4.1 | openSUSE-SU-2022:10014-1 |
| openSUSE Leap 15.3 | tensorflow2 +3 | 2.6.0-bp153.2.3.1 | openSUSE-SU-2022:10014-1 |
Affected packages
| Ecosystem | Package | Affected | Fixed | Record |
|---|---|---|---|---|
| PyPI | tensorflow | < 1.15.5 | 1.15.5 | GHSA-c9f3-9wfr-wgh7 |
| PyPI | tensorflow | >= 2.0.0, < 2.0.4 | 2.0.4 | GHSA-c9f3-9wfr-wgh7 |
| PyPI | tensorflow | >= 2.1.0, < 2.1.3 | 2.1.3 | GHSA-c9f3-9wfr-wgh7 |
| PyPI | tensorflow | >= 2.2.0, < 2.2.2 | 2.2.2 | GHSA-c9f3-9wfr-wgh7 |
| PyPI | tensorflow | >= 2.3.0, < 2.3.2 | 2.3.2 | GHSA-c9f3-9wfr-wgh7 |
| PyPI | tensorflow | < 1.15.5 · >= 2.0.0, < 2.0.4 · >= 2.1.0, < 2.1.3 · >= 2.2.0, < 2.2.2 · >= 2.3.0, < 2.3.2 | 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2 | PYSEC-2020-140 |
| PyPI | tensorflow-cpu | < 1.15.5 | 1.15.5 | GHSA-c9f3-9wfr-wgh7 |
| PyPI | tensorflow-cpu | >= 2.0.0, < 2.0.4 | 2.0.4 | GHSA-c9f3-9wfr-wgh7 |
| PyPI | tensorflow-cpu | >= 2.1.0, < 2.1.3 | 2.1.3 | GHSA-c9f3-9wfr-wgh7 |
| PyPI | tensorflow-cpu | >= 2.2.0, < 2.2.2 | 2.2.2 | GHSA-c9f3-9wfr-wgh7 |
| PyPI | tensorflow-cpu | >= 2.3.0, < 2.3.2 | 2.3.2 | GHSA-c9f3-9wfr-wgh7 |
| PyPI | tensorflow-cpu | < 1.15.5 · >= 2.0.0, < 2.0.4 · >= 2.1.0, < 2.1.3 · >= 2.2.0, < 2.2.2 · >= 2.3.0, < 2.3.2 | 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2 | PYSEC-2020-298 |
| PyPI | tensorflow-gpu | < 1.15.5 | 1.15.5 | GHSA-c9f3-9wfr-wgh7 |
| PyPI | tensorflow-gpu | >= 2.0.0, < 2.0.4 | 2.0.4 | GHSA-c9f3-9wfr-wgh7 |
| PyPI | tensorflow-gpu | >= 2.1.0, < 2.1.3 | 2.1.3 | GHSA-c9f3-9wfr-wgh7 |
| PyPI | tensorflow-gpu | >= 2.2.0, < 2.2.2 | 2.2.2 | GHSA-c9f3-9wfr-wgh7 |
| PyPI | tensorflow-gpu | >= 2.3.0, < 2.3.2 | 2.3.2 | GHSA-c9f3-9wfr-wgh7 |
| PyPI | tensorflow-gpu | < 1.15.5 · >= 2.0.0, < 2.0.4 · >= 2.1.0, < 2.1.3 · >= 2.2.0, < 2.2.2 · >= 2.3.0, < 2.3.2 | 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2 | PYSEC-2020-333 |
Advisories 1
- openSUSE-SU-2022:10014-1 Security update for tensorflow2 SUSE / openSUSE Security Updates · Feb 4, 2026