7.8
CVE-2021-29608
- EPSS 0.02%
- Veröffentlicht 14.05.2021 20:15:15
- Zuletzt bearbeitet 21.11.2024 06:01:29
- Quelle security-advisories@github.com
- CVE-Watchlists
- Unerledigt
LoginHeap OOB and null pointer dereference in `RaggedTensorToTensor`
TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.RaggedTensorToTensor`, an attacker can exploit an undefined behavior if input arguments are empty. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L356-L360) only checks that one of the tensors is not empty, but does not check for the other ones. There are multiple `DCHECK` validations to prevent heap OOB, but these are no-op in release builds, hence they don't prevent anything. The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits 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.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Google ≫ Tensorflow Version < 2.1.4
Google ≫ Tensorflow Version >= 2.2.0 < 2.2.3
Google ≫ Tensorflow Version >= 2.3.0 < 2.3.3
Google ≫ Tensorflow Version >= 2.4.0 < 2.4.2
| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.02% | 0.064 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| nvd@nist.gov | 7.8 | 1.8 | 5.9 |
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
|
| nvd@nist.gov | 4.6 | 3.9 | 6.4 |
AV:L/AC:L/Au:N/C:P/I:P/A:P
|
| security-advisories@github.com | 5.3 | 1 | 4.2 |
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:H
|
CWE-131 Incorrect Calculation of Buffer Size
The product does not correctly calculate the size to be used when allocating a buffer, which could lead to a buffer overflow.