Tensorflow
Approved changes feed: RSS · Atom
cpe:2.3:a:google:tensorflow:2.9.0:*:*:*:*:*:*:*
part: a version: 2.9.0 update: *
| Vendor | Google (f181d1eb-7269-5bae-b76e-e66ceb214562) |
|---|---|
| Product | Tensorflow (b00eb799-7f6b-5a1c-af79-6e563231bc87) |
| Edition | * |
| Language | * |
| Software edition | * |
| Target software | * |
| Target hardware | * |
| Other | * |
| Notes | Imported from gcve-enriched-dumps CVE data |
PURL mappings
| PURL | Source | Last updated |
|---|---|---|
| No PURL mappings for this CPE yet. | ||
Vulnerability references
| Identifier | cpeApplicability | Submitted | db.gcve.eu details | Rationale |
|---|---|---|---|---|
CVE:CVE-2022-35963 |
vulnerable | 2026-06-08 05:46:06.067510 |
`CHECK` failures in `FractionalAvgPoolGrad` in TensorFlow
MEDIUM (5.9)
TensorFlow is an open source platform for machine learning. The implementation of `FractionalAvgPoolGrad` does not fully validate the input `orig_input_tensor_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 03a659d7be9a1154fdf5eeac221e5950fec07dad. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Published: 2022-09-16T20:10:10.000Z
Updated: 2025-04-23T17:03:41.735Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2022-35960 |
vulnerable | 2026-06-08 05:46:06.061731 |
`CHECK` failure in `TensorListReserve` in TensorFlow
MEDIUM (5.9)
TensorFlow is an open source platform for machine learning. In `core/kernels/list_kernels.cc's TensorListReserve`, `num_elements` is assumed to be a tensor of size 1. When a `num_elements` of more than 1 element is provided, then `tf.raw_ops.TensorListReserve` fails the `CHECK_EQ` in `CheckIsAlignedAndSingleElement`. We have patched the issue in GitHub commit b5f6fbfba76576202b72119897561e3bd4f179c7. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Published: 2022-09-16T20:00:15.000Z
Updated: 2025-04-23T17:03:48.088Z Reference links
|
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2022-35959 |
vulnerable | 2026-06-08 05:46:06.060941 |
`CHECK` failures in `AvgPool3DGrad` in TensorFlow
MEDIUM (5.9)
TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Published: 2022-09-16T19:55:11.000Z
Updated: 2025-04-23T17:03:53.520Z |
Imported from gcve-enriched-dumps CVE data |
Contribute
You can submit an edit proposal for this CPE entry or suggest a related product/vendor addition using the action button above.