PT-2026-59908

Impact When running with XLA, tf.raw ops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor. python import tensorflow as tf func = tf.raw ops.Bincount para='arr': 6, 'size': 804, 'weights': 52, 351 @tf.functionjit compile=True d...

PT-2026-59787

Impact The implementation of BlockLSTMGradV2 does not fully validate its inputs. - wci, wcf, wco, b must be rank 1 - w, cs prev, h prev must be rank 2 - x must be rank 3 This results in a a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf use peephol...

PT-2026-59748

Impact When running with XLA, tf.raw ops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor. python import tensorflow as tf func = tf.raw ops.Bincount para='arr': 6, 'size': 804, 'weights': 52, 351 @tf.functionjit compile=True d...

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,...

PT-2026-59932

Impact The implementation of BlockLSTMGradV2 does not fully validate its inputs. - wci, wcf, wco, b must be rank 1 - w, cs prev, h prev must be rank 2 - x must be rank 3 This results in a a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf use peephol...

PT-2026-59887

Impact If QuantizedBiasAdd is given min input, max input, min bias, max bias 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 out type = tf.qint32 input = tf.constant85,170,255, shape=3, dtype=tf.quint8 bias...

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=,...

CVE-2026-55213 h2o: musl libc stack overflow (QPACK)

h2o is an HTTP server with support for HTTP/1.x, HTTP/2 and HTTP/3. Prior to commit edd7a120bfc4af11ac0cbebce2a43cc1f93f9af1, when h2o processes a QPACK instruction sent from the peer over HTTP/3, lib/http3/qpack.c might allocate an on-stack buffer as large as approximately 800 KB by calling...

PT-2026-57321

Name of the Vulnerable Software and Affected Versions h2o versions prior to commit edd7a120bfc4af11ac0cbebce2a43cc1f93f9af1 Description When processing a QPACK instruction sent from a peer over HTTP/3, the server may allocate an on-stack buffer of approximately 800 KB using the alloca function in...

PYSEC-2026-3104 Segfault due to missing support for quantized types

Impact There is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types added after migration to TF 2.x: python import numpy as np import tensorflow as tf...

PYSEC-2026-3274 Segfault due to missing support for quantized types

Impact There is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types added after migration to TF 2.x: python import numpy as np import tensorflow as tf...

PYSEC-2026-3211 Type confusion leading to segfault in Tensorflow

Impact The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion: python import tensorflow as tf @tf.function def test: y = tf.rawops.ConcatV2 values=1,2,3,4,5,6, axis = 0xb500005b return y test The axis argument...

PYSEC-2026-3193 Segfault in `simplifyBroadcast` in Tensorflow

Impact The simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault hence, denial of service, if called with scalar shapes. cc sizet maxRank = 0; for auto shape : llvm::enumerateshapes auto foundshape = analysis.dimensionsForShapeTensorshape.value; if...

Django: GDALRaster may over-read heap memory when constructed from bytes

An issue was discovered in Django 6.0 before 6.0.7 and 5.2 before 5.2.16. django.contrib.gis.gdal.GDALRaster over-reads its in-memory buffer when constructed from a bytes object, which can disclose adjacent memory or cause service degradation via a potential segmentation fault when the vsibuffer...

PYSEC-2026-2091

An issue was discovered in Django 6.0 before 6.0.7 and 5.2 before 5.2.16. django.contrib.gis.gdal.GDALRaster over-reads its in-memory buffer when constructed from a bytes object, which can disclose adjacent memory or cause service degradation via a potential segmentation fault when the vsibuffer...

CVE-2026-53877

An issue was discovered in Django 6.0 before 6.0.7 and 5.2 before 5.2.16. django.contrib.gis.gdal.GDALRaster over-reads its in-memory buffer when constructed from a bytes object, which can disclose adjacent memory or cause service degradation via a potential segmentation fault when the vsibuffer...

PYSEC-2026-1859 Malciously crafted QPY files can allows Remote Attackers to Cause Denial of Service in Qiskit

Impact A maliciously crafted QPY file containing a malformed symengine serialization stream as part of the larger QPY serialization of a ParameterExpression object can cause a segfault within the symengine library, allowing an attacker to terminate the hosting process deserializing the QPY payloa...

TensorFlow has segfault in array_ops.upper_bound

Impactarrayops.upperbound causes a segfault when not given a rank 2 tensor. PatchesWe have patched the issue in GitHub commit 915884fdf5df34aaedd00fc6ace33a2cfdefa586.The fix will be included in TensorFlow 2.13. We will also cherrypick this commit in TensorFlow 2.12.1. For more informationPlease...

PYSEC-2026-1962 TensorFlow has segfault in array_ops.upper_bound

Impact arrayops.upperbound causes a segfault when not given a rank 2 tensor. Patches We have patched the issue in GitHub commit 915884fdf5df34aaedd00fc6ace33a2cfdefa586. The fix will be included in TensorFlow 2.13. We will also cherrypick this commit in TensorFlow 2.12.1. For more information...

CVE-2026-53877

An issue was discovered in Django 6.0 before 6.0.7 and 5.2 before 5.2.16. django.contrib.gis.gdal.GDALRaster over-reads its in-memory buffer when constructed from a bytes object, which can disclose adjacent memory or cause service degradation via a potential segmentation fault when the vsibuffer...