Tensorflow
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cpe:2.3:a:google:tensorflow:2.6.0:*:*:*:*:*:*:*
part: a version: 2.6.0 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-2021-41219 |
vulnerable | 2026-06-08 05:35:20.009182 |
Undefined behavior via `nullptr` reference binding in sparse matrix multiplication
HIGH (7.8)
TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Published: 2021-11-05T20:50:17.000Z
Updated: 2024-08-04T03:08:31.583Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2021-41217 |
vulnerable | 2026-06-08 05:35:20.008037 |
Null pointer exception when `Exit` node is not preceded by `Enter` op
MEDIUM (5.5)
TensorFlow is an open source platform for machine learning. In affected versions the process of building the control flow graph for a TensorFlow model is vulnerable to a null pointer exception when nodes that should be paired are not. This occurs because the code assumes that the first node in the pairing (e.g., an `Enter` node) always exists when encountering the second node (e.g., an `Exit` node). When this is not the case, `parent` is `nullptr` so dereferencing it causes a crash. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Published: 2021-11-05T20:55:10.000Z
Updated: 2024-08-04T03:08:31.448Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2021-41215 |
vulnerable | 2026-06-08 05:35:20.007118 |
Null pointer exception in `DeserializeSparse`
MEDIUM (5.5)
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `DeserializeSparse` can trigger a null pointer dereference. This is because the shape inference function assumes that the `serialize_sparse` tensor is a tensor with positive rank (and having `3` as the last dimension). The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Published: 2021-11-05T20:55:16.000Z
Updated: 2024-08-04T03:08:31.507Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2021-41214 |
vulnerable | 2026-06-08 05:35:20.006739 |
Reference binding to `nullptr` in `tf.ragged.cross`
HIGH (7.8)
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` has an undefined behavior due to binding a reference to `nullptr`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Published: 2021-11-05T20:50:11.000Z
Updated: 2024-08-04T03:08:31.367Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2021-41212 |
vulnerable | 2026-06-08 05:35:20.005756 |
Heap OOB read in `tf.ragged.cross`
HIGH (7.1)
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Published: 2021-11-05T20:15:17.000Z
Updated: 2024-08-04T03:08:31.357Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2021-41211 |
vulnerable | 2026-06-08 05:35:20.005363 | db.gcve.eu details were skipped to keep the page responsive. | Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2021-41210 |
vulnerable | 2026-06-08 05:35:20.004919 | db.gcve.eu details were skipped to keep the page responsive. | Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2021-41201 |
vulnerable | 2026-06-08 05:35:19.998023 | db.gcve.eu details were skipped to keep the page responsive. | Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2021-41200 |
vulnerable | 2026-06-08 05:35:19.997602 | db.gcve.eu details were skipped to keep the page responsive. | Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2021-41199 |
vulnerable | 2026-06-08 05:35:19.996996 | db.gcve.eu details were skipped to keep the page responsive. | Imported from gcve-enriched-dumps CVE data |
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