PYSEC-2026-3270 TensorFlow vulnerable to segfault in `SparseBincount`

Impact If SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf binaryoutput = True indices = tf.random.uniformshape=, minval=-10000...

TensorFlow vulnerable to segfault in `SparseBincount`

ImpactIf SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfbinaryoutput = Trueindices = tf.random.uniformshape=, minval=-10000,...

PYSEC-2026-3093 TensorFlow vulnerable to segfault in `SparseBincount`

Impact If SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf binaryoutput = True indices = tf.random.uniformshape=, minval=-10000...

PT-2026-59712

Impact If SparseBincount is given inputs for indices, values, and dense shape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf binary output = True indices = tf.random.uniformshape=,...

TensorFlow vulnerable to segfault in `SparseBincount`

ImpactIf SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfbinaryoutput = Trueindices = tf.random.uniformshape=, minval=-10000,...

PYSEC-2026-947 TensorFlow vulnerable to segfault in `SparseBincount`

Impact If SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf binaryoutput = True indices = tf.random.uniformshape=, minval=-10000...

EUVD-2021-0448

Malware in sbrugna...

EUVD-2022-6675

Malicious code in bioql PyPI...

BIT-TENSORFLOW-2021-41226 Heap OOB read in `SparseBinCount`

TensorFlow is an open source platform for machine learning. In affected versions the implementation of SparseBinCount is vulnerable to a heap OOB access. This is because of missing validation between the elements of the values argument and the shape of the sparse output. The fix will be included ...

GHSA-397C-5G2J-QXPV TensorFlow vulnerable to segfault in `SparseBincount`

Impact If SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf binaryoutput = True indices = tf.random.uniformshape=, minval=-10000...

TensorFlow vulnerable to segfault in `SparseBincount`

Impact If SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf binaryoutput = True indices = tf.random.uniformshape=, minval=-10000...

CVE-2022-35982

TensorFlow is an open source platform for machine learning. If SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-35982 Segfault in `SparseBincount` in TensorFlow

TensorFlow is an open source platform for machine learning. If SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-35982: Improper Input Validation

TensorFlow is an open source platform for machine learning. If SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

PT-2022-23080

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The issue arises when SparseBincount is given inputs for indices, values, and den...

GHSA-374M-JM66-3VJ8 Heap OOB in `SparseBinCount`

Impact The implementation of SparseBinCount is vulnerable to a heap OOB: python import tensorflow as tf tf.rawops.SparseBincount indices=0,1,2 values=0,-10000000 denseshape=1,1 size=1 weights=3,2,1 binaryoutput=False This is because of missing validation between the elements of the values argumen...

Google TensorFlow Heap Out-of-Bounds Access Vulnerability (CNVD-2021-85883)

Google TensorFlow, an end-to-end open source machine learning platform, suffers from a heap out-of-bounds access vulnerability in the SparseBinCount implementation in versions prior to TensorFlow 2.7.0. The vulnerability stems from missing validation between the elements of the values parameter a...

CVE-2021-41226

TensorFlow is an open source platform for machine learning. In affected versions the implementation of SparseBinCount is vulnerable to a heap OOB access. This is because of missing validation between the elements of the values argument and the shape of the sparse output. The fix will be included ...

CVE-2021-41226

TensorFlow is an open source platform for machine learning. In affected versions the implementation of SparseBinCount is vulnerable to a heap OOB access. This is because of missing validation between the elements of the values argument and the shape of the sparse output. The fix will be included ...

PYSEC-2021-418

TensorFlow is an open source platform for machine learning. In affected versions the implementation of SparseBinCount is vulnerable to a heap OOB access. This is because of missing validation between the elements of the values argument and the shape of the sparse output. The fix will be included ...