55 matches found
PT-2026-102785
vLLM through 0.29.0 contains a memory corruption vulnerability in the Triton bincount kernel where prompt token IDs index the penalty prompt-presence bitset without bounds checking against vocabulary size. Attackers can submit multimodal audio requests with tokens equal to vocabulary size, causin...
PT-2026-95640
Name of the Vulnerable Software and Affected Versions vLLM versions prior to 0.30.0 Description A memory corruption issue exists in the Triton bincount kernel function. The problem occurs when prompt token IDs index the penalty prompt-presence bitset without performing bounds checking against the...
TensorFlow has Segfault in Bincount with XLA
ImpactWhen running with XLA, tf.rawops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor.pythonimport tensorflow as tffunc = tf.rawops.Bincountpara='arr': 6, 'size': 804, 'weights': 52, [email protected]=Truedef fuzzjit...
PYSEC-2026-3294 TensorFlow has Segfault in Bincount with XLA
Impact When running with XLA, tf.rawops.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.rawops.Bincount para='arr': 6, 'size': 804, 'weights': 52, 351 @tf.functionjitcompile=True def...
TensorFlow has Segfault in Bincount with XLA
ImpactWhen running with XLA, tf.rawops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor.pythonimport tensorflow as tffunc = tf.rawops.Bincountpara='arr': 6, 'size': 804, 'weights': 52, [email protected]=Truedef fuzzjit...
PYSEC-2026-3131 TensorFlow has Segfault in Bincount with XLA
Impact When running with XLA, tf.rawops.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.rawops.Bincount para='arr': 6, 'size': 804, 'weights': 52, 351 @tf.functionjitcompile=True def...
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,...
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-2026-59885
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=,...
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...
PYSEC-2026-3164 Assertion failure based denial of service in Tensorflow
Impact The implementation of Bincount operations allows malicious users to cause denial of service by passing in arguments which would trigger a CHECK-fail: python import tensorflow as tf tf.rawops.DenseBincount input=0, 1, 2, size=1, weights=3,2,1, binaryoutput=False There are several conditions...
Assertion failure based denial of service in Tensorflow
Impact The implementation of Bincount operations allows malicious users to cause denial of service by passing in arguments which would trigger a CHECK-fail:pythonimport tensorflow as tftf.rawops.DenseBincount input=0, 1, 2, size=1, weights=3,2,1, binaryoutput=FalseThere are several conditions tha...
PYSEC-2026-967 TensorFlow has Segfault in Bincount with XLA
Impact When running with XLA, tf.rawops.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.rawops.Bincount para='arr': 6, 'size': 804, 'weights': 52, 351 @tf.functionjitcompile=True def...
TensorFlow has Segfault in Bincount with XLA
ImpactWhen running with XLA, tf.rawops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor.pythonimport tensorflow as tffunc = tf.rawops.Bincountpara='arr': 6, 'size': 804, 'weights': 52, [email protected]=Truedef fuzzjit...
TensorFlow vulnerable to segfault in `RaggedBincount`
ImpactIf RaggedBincount is given an empty input tensor splits, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfbinaryoutput = Truesplits = tf.random.uniformshape=0, minval=-10000, maxval=10000, dtype=tf.int64, seed=-7430values =...
PYSEC-2026-1043 TensorFlow vulnerable to `CHECK` fail in `DenseBincount`
Impact DenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf binaryoutput = True input =...
TensorFlow vulnerable to `CHECK` fail in `DenseBincount`
ImpactDenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfbinaryoutput = Trueinput =...
EUVD-2023-0933
Malicious code in bioql PyPI...
CVE-2023-25675
TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, tf.rawops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor. A fix is included in TensorFlow 2.12.0 and 2.11.1...