CVE-2021-29554
TensorFlow is an end-to-end open source platform for machine learning.
Impact
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.
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Tensorflow | before 2.1.4 from 2.2.0 before 2.2.3 from 2.3.0 before 2.3.3 from 2.4.0 before 2.4.2 |
Weakness classification
References
- NVD record
- CVE.org record
- https://github.com/tensorflow/tensorflow/commit/da5ff2daf618591f64b2b62d9d9803951b945e9f
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qg48-85hg-mqc5
- https://github.com/tensorflow/tensorflow/commit/da5ff2daf618591f64b2b62d9d9803951b945e9f
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qg48-85hg-mqc5