CVE-2021-29554
CVE-2021-29554 · Division by 0 in `DenseCountSparseOutput`
This page contains facts from public vulnerability sources. Check the original advisory before updating.
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.DenseCountSparseOutput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division. Since `data` is given by the `values` argument, `num_batch_elements` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected.
CVSS 2.5 · Low · EPSS 0.2% · Fix available
- Published
- Updated
Stack: python
Affected products and versions
tensorflow
- Versions
- < 2.3.3: Affected
- >= 2.4.0, < 2.4.2: Affected
No fix published
tensorflow PyPI
- Versions
- 2.3.0
- 2.3.1
- 2.3.2
- Affected ranges
- ECOSYSTEM: ≥ 2.3.0, < 2.3.3
Update to 2.3.3
tensorflow PyPI
- Versions
- 2.4.0
- 2.4.1
- Affected ranges
- ECOSYSTEM: ≥ 2.4.0, < 2.4.2
Update to 2.4.2
tensorflow-cpu PyPI
- Versions
- 2.3.0
- 2.3.1
- 2.3.2
- Affected ranges
- ECOSYSTEM: ≥ 2.3.0, < 2.3.3
Update to 2.3.3
tensorflow-cpu PyPI
- Versions
- 2.4.0
- 2.4.1
- Affected ranges
- ECOSYSTEM: ≥ 2.4.0, < 2.4.2
Update to 2.4.2
tensorflow-gpu PyPI
- Versions
- 2.3.0
- 2.3.1
- 2.3.2
- Affected ranges
- ECOSYSTEM: ≥ 2.3.0, < 2.3.3
Update to 2.3.3
tensorflow-gpu PyPI
- Versions
- 2.4.0
- 2.4.1
- Affected ranges
- ECOSYSTEM: ≥ 2.4.0, < 2.4.2
Update to 2.4.2
tensorflow PyPI
- Versions
- 0.12.0
- 0.12.0rc0
- 0.12.0rc1
- 0.12.1
- 1.0.0
- 1.0.1
- 1.1.0
- 1.1.0rc0
- 1.1.0rc1
- 1.1.0rc2
- 1.10.0
- 1.10.0rc0
- 1.10.0rc1
- 1.10.1
- 1.11.0
- 1.11.0rc0
- 1.11.0rc1
- 1.11.0rc2
- 1.12.0
- 1.12.0rc0
- 1.12.0rc1
- 1.12.0rc2
- 1.12.2
- 1.12.3
- 1.13.0rc0
- 1.13.0rc1
- 1.13.0rc2
- 1.13.1
- 1.13.2
- 1.14.0
- 1.14.0rc0
- 1.14.0rc1
- 1.15.0
- 1.15.0rc0
- 1.15.0rc1
- 1.15.0rc2
- 1.15.0rc3
- 1.15.2
- 1.15.3
- 1.15.4
- 1.15.5
- 1.2.0
- 1.2.0rc0
- 1.2.0rc1
- 1.2.0rc2
- 1.2.1
- 1.3.0
- 1.3.0rc0
- 1.3.0rc1
- 1.3.0rc2
- 1.4.0
- 1.4.0rc0
- 1.4.0rc1
- 1.4.1
- 1.5.0
- 1.5.0rc0
- 1.5.0rc1
- 1.5.1
- 1.6.0
- 1.6.0rc0
- 1.6.0rc1
- 1.7.0
- 1.7.0rc0
- 1.7.0rc1
- 1.7.1
- 1.8.0
- 1.8.0rc0
- 1.8.0rc1
- 1.9.0
- 1.9.0rc0
- 1.9.0rc1
- 1.9.0rc2
- 2.0.0
- 2.0.0a0
- 2.0.0b0
- 2.0.0b1
- 2.0.0rc0
- 2.0.0rc1
- 2.0.0rc2
- 2.0.1
- 2.0.2
- 2.0.3
- 2.0.4
- 2.1.0
- 2.1.0rc0
- 2.1.0rc1
- 2.1.0rc2
- 2.1.1
- 2.1.2
- 2.1.3
- 2.2.0
- 2.2.1
- 2.2.2
- 2.3.0
- 2.3.1
- 2.3.2
- 2.4.0
- 2.4.1
- Affected ranges
- GIT: < da5ff2daf618591f64b2b62d9d9803951b945e9f
- ECOSYSTEM: < 2.1.4 ∪ ≥ 2.2.0, < 2.2.3 ∪ ≥ 2.3.0, < 2.3.3 ∪ ≥ 2.4.0, < 2.4.2
Update to 2.1.4; Update to 2.2.3; Update to 2.3.3; Update to 2.4.2
tensorflow-cpu PyPI
- Versions
- 1.15.0
- 2.1.0
- 2.1.1
- 2.1.2
- 2.1.3
- 2.2.0
- 2.2.1
- 2.2.2
- 2.3.0
- 2.3.1
- 2.3.2
- 2.4.0
- 2.4.1
- Affected ranges
- GIT: < da5ff2daf618591f64b2b62d9d9803951b945e9f
- ECOSYSTEM: < 2.1.4 ∪ ≥ 2.2.0, < 2.2.3 ∪ ≥ 2.3.0, < 2.3.3 ∪ ≥ 2.4.0, < 2.4.2
Update to 2.1.4; Update to 2.2.3; Update to 2.3.3; Update to 2.4.2
tensorflow-gpu PyPI
- Versions
- 0.12.0
- 0.12.1
- 1.0.0
- 1.0.1
- 1.1.0
- 1.10.0
- 1.10.1
- 1.11.0
- 1.12.0
- 1.12.2
- 1.12.3
- 1.13.1
- 1.13.2
- 1.14.0
- 1.15.0
- 1.15.2
- 1.15.3
- 1.15.4
- 1.15.5
- 1.2.0
- 1.2.1
- 1.3.0
- 1.4.0
- 1.4.1
- 1.5.0
- 1.5.1
- 1.6.0
- 1.7.0
- 1.7.1
- 1.8.0
- 1.9.0
- 2.0.0
- 2.0.1
- 2.0.2
- 2.0.3
- 2.0.4
- 2.1.0
- 2.1.1
- 2.1.2
- 2.1.3
- 2.2.0
- 2.2.1
- 2.2.2
- 2.3.0
- 2.3.1
- 2.3.2
- 2.4.0
- 2.4.1
- Affected ranges
- GIT: < da5ff2daf618591f64b2b62d9d9803951b945e9f
- ECOSYSTEM: < 2.1.4 ∪ ≥ 2.2.0, < 2.2.3 ∪ ≥ 2.3.0, < 2.3.3 ∪ ≥ 2.4.0, < 2.4.2
Update to 2.1.4; Update to 2.2.3; Update to 2.3.3; Update to 2.4.2