Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29607Incomplete validation in `SparseSparseMinimum`
Medium 5.3
In plain English
A medium-severity security flaw in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 14% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official 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_sparse_binary_op_shared.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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.3 | GHSA-gv26-jpj9-c8gq |
| PyPI | tensorflow | 2.4.2 | GHSA-gv26-jpj9-c8gq |
| PyPI | tensorflow | 2.1.4 | GHSA-gv26-jpj9-c8gq |
| PyPI | tensorflow | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-244 |
| PyPI | tensorflow | 2.2.3 | GHSA-gv26-jpj9-c8gq |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-gv26-jpj9-c8gq |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-gv26-jpj9-c8gq |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-gv26-jpj9-c8gq |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-gv26-jpj9-c8gq |
| PyPI | tensorflow-cpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-535 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-gv26-jpj9-c8gq |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-gv26-jpj9-c8gq |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-gv26-jpj9-c8gq |
| PyPI | tensorflow-gpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-733 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-gv26-jpj9-c8gq |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | < 2.1.4>= 2.2.0, < 2.2.3>= 2.3.0, < 2.3.3>= 2.4.0, < 2.4.2 |
Weakness: CWE-754 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:H
References
- https://github.com/tensorflow/tensorflow/commit/ba6822bd7b7324ba201a28b2f278c29a98edbef2 x_refsource_MISC
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gv26-jpj9-c8gq x_refsource_CONFIRM
- https://github.com/tensorflow/tensorflow/commit/f6fde895ef9c77d848061c0517f19d0ec2682f3a x_refsource_MISC