CVE-2021-29609
Severity CVSS v4.0:
Pending analysis
Type:
CWE-476
NULL Pointer Dereference
Publication date:
14/05/2021
Last modified:
20/05/2021
Description
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseAdd` results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_add_op.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. 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.
Impact
Base Score 3.x
7.80
Severity 3.x
HIGH
Base Score 2.0
4.60
Severity 2.0
MEDIUM
Vulnerable products and versions
CPE | From | Up to |
---|---|---|
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 2.1.4 (excluding) | |
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 2.2.0 (including) | 2.2.3 (excluding) |
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 2.3.0 (including) | 2.3.3 (excluding) |
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 2.4.0 (including) | 2.4.2 (excluding) |
To consult the complete list of CPE names with products and versions, see this page