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cpe:2.3:a:google:tensorflow:2.6.0:*:*:*:*:*:*:*

part: a version: 2.6.0 update: *

VendorGoogle (f181d1eb-7269-5bae-b76e-e66ceb214562)
ProductTensorflow (b00eb799-7f6b-5a1c-af79-6e563231bc87)
Edition*
Language*
Software edition*
Target software*
Target hardware*
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NotesImported from gcve-enriched-dumps CVE data

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Vulnerability references

IdentifiercpeApplicabilitySubmitteddb.gcve.eu detailsRationale
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
Reference links
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
Reference links
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
Reference links
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
Reference links
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
Reference links
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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