Out-of-bounds Read

Overview Affected versions of this package are vulnerable to Out-of-bounds Read in the adaptgemm76 function when processing input tensors with fewer than two dimensions. An attacker can cause a crash or potentially leak adjacent heap memory by providing a specially crafted model file with...

PYSEC-2026-3238 Segfault in `CompositeTensorVariantToComponents`

Impact An input encoded that is not a valid CompositeTensorVariant tensor will trigger a segfault in tf.rawops.CompositeTensorVariantToComponents. python import tensorflow as tf encode = tf.rawops.EmptyTensorListelementdtype=tf.int32, elementshape=10, 15, maxnumelements=2 meta= ""...

PYSEC-2026-3133 TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`

Impact The implementation of FractionalAvgPoolGrad does not fully validate the input originputtensorshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack. python import tensorflow as tf overlapping = True originputtensorshape =...

PYSEC-2026-3296 TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`

Impact The implementation of FractionalAvgPoolGrad does not fully validate the input originputtensorshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack. python import tensorflow as tf overlapping = True originputtensorshape =...

PT-2026-59722

Impact If QuantizedAvgPool is given min input or max input tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf ksize = 1, 2, 2, 1 strides = 1, 2, 2, 1 padding = "SAME" input = tf.constant1, shape=1,4,4,2,...

PT-2026-59888

Impact If QuantizedAvgPool is given min input or max input tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf ksize = 1, 2, 2, 1 strides = 1, 2, 2, 1 padding = "SAME" input = tf.constant1, shape=1,4,4,2,...

CVE-2025-65887

A division-by-zero vulnerability in the flow.floordivide component of OneFlow v0.9.0 allows attackers to cause a Denial of Service DoS via a crafted input tensor with zero...

CVE-2025-65887

A division-by-zero vulnerability in the flow.floordivide component of OneFlow v0.9.0 allows attackers to cause a Denial of Service DoS via a crafted input tensor with zero...

Division by zero

Overview Affected versions of this package are vulnerable to Division by zero in the flow.floordivide function. An attacker can cause the application to crash or become unresponsive by providing a specially crafted input tensor containing a zero value. Remediation There is no fixed version for...

CVE-2025-65887

A division-by-zero vulnerability in the flow.floordivide component of OneFlow v0.9.0 allows attackers to cause a Denial of Service DoS via a crafted input tensor with zero...

CVE-2025-65887: Divide By Zero

A division-by-zero vulnerability in the flow.floordivide component of OneFlow v0.9.0 allows attackers to cause a Denial of Service DoS via a crafted input tensor with zero...

PT-2026-5139

Name of the Vulnerable Software and Affected Versions OneFlow version 0.9.0 Description A division-by-zero issue exists in the flow.floor divide component. An attacker can leverage this to trigger a Denial of Service DoS by providing a specially crafted input tensor containing zero. Recommendatio...

EUVD-2025-206483

A division-by-zero vulnerability in the flow.floordivide component of OneFlow v0.9.0 allows attackers to cause a Denial of Service DoS via a crafted input tensor with zero...

CVE-2025-65887

A division-by-zero vulnerability in the flow.floordivide component of OneFlow v0.9.0 allows attackers to cause a Denial of Service DoS via a crafted input tensor with zero...

EUVD-2021-0272

Malware in sbrugna...

EUVD-2022-6754

Malicious code in bioql PyPI...

EUVD-2022-6968

Malicious code in bioql PyPI...

CVE-2022-35985

TensorFlow is an open source platform for machine learning. If LRNGrad is given an outputimage input tensor that is not 4-D, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bd90b3efab4ec958b228cd7cfe9125be1c0cf255. The...

CVE-2021-29531

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a CHECK fail in PNG encoding by providing an empty input tensor as the pixel data. This is because the...

CVE-2021-29581

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in tf.rawops.CTCBeamSearchDecoder, an attacker can trigger denial of service via segmentation faults. The...