Vulnerability Database
289,697
Total vulnerabilities in the database
CVE-2021-29543
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK-fail in tf.raw_ops.CTCGreedyDecoder. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1615440b17b364b875eb06f43d087381f1460a65/tensorflow/core/kernels/ctc_decoder_ops.cc#L37-L50) has a CHECK_LT inserted to validate some invariants. When this condition is false, the program aborts, instead of returning a valid error to the user. This abnormal termination can be weaponized in denial of service attacks. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
| Software | From | Fixed in |
|---|---|---|
| google / tensorflow | 2.4.0 | 2.4.2 |
| google / tensorflow | 2.3.0 | 2.3.3 |
| google / tensorflow | 2.2.0 | 2.2.3 |
| google / tensorflow | - | 2.1.4 |
tensorflow
|
- | 2.1.4 |
|
tensorflow
|
2.2.0 | 2.2.3 |
|
tensorflow
|
2.3.0 | 2.3.3 |
|
tensorflow
|
2.4.0 | 2.4.2 |
|
tensorflow-cpu
|
- | 2.1.4 |
|
tensorflow-cpu
|
2.2.0 | 2.2.3 |
|
tensorflow-cpu
|
2.3.0 | 2.3.3 |
|
tensorflow-cpu
|
2.4.0 | 2.4.2 |
|
tensorflow-gpu
|
- | 2.1.4 |
|
tensorflow-gpu
|
2.2.0 | 2.2.3 |
|
tensorflow-gpu
|
2.3.0 | 2.3.3 |
|
tensorflow-gpu
|
2.4.0 | 2.4.2 |