PYSEC-2026-959 TensorFlow vulnerable to segfault in `QuantizedMatMul`

Impact If QuantizedMatMul is given nonscalar input for: - mina - maxa - minb - maxb It gives a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf Toutput = tf.qint32 transposea = False transposeb = False Tactivation = tf.quint8 a = tf.constant7,...

TensorFlow vulnerable to segfault in `QuantizedMatMul`

ImpactIf QuantizedMatMul is given nonscalar input for: - mina - maxa - minb - maxbIt gives a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfToutput = tf.qint32transposea = Falsetransposeb = FalseTactivation = tf.quint8a = tf.constant7, shape=3,4,...

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,...

TensorFlow vulnerable to segfault in `QuantizeDownAndShrinkRange`

ImpactIf QuantizeDownAndShrinkRange is given nonscalar inputs for inputmin or inputmax, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfouttype = tf.quint8input = tf.constant1, shape=3, dtype=tf.qint32inputmin = tf.constant, shape=0,...

PYSEC-2026-1037 TensorFlow vulnerable to segfault in `QuantizedAdd`

Impact If QuantizedAdd is given mininput or maxinput 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 Toutput = tf.qint32 x = tf.constant140, shape=1, dtype=tf.quint8 y = tf.constant26, shape=10,...

PYSEC-2026-982 TensorFlow vulnerable to `CHECK` fail in `RandomPoissonV2`

Impact When RandomPoissonV2 receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536 arg1=tf.random.uniformshape=4, 4, 4, 4, 4, dtype=tf.float32, maxval=None...

PYSEC-2026-1031 TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`

Impact When tf.quantization.fakequantwithminmaxvarsgradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf import numpy as np arg0=tf.constantvalue=np.random.randomsize=2, 2, shape=2, 2, dtype=tf.float...

TensorFlow vulnerable to `CHECK` fail in `RandomPoissonV2`

ImpactWhen RandomPoissonV2 receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfarg0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536arg1=tf.random.uniformshape=4, 4, 4, 4, 4, dtype=tf.float32,...

PYSEC-2026-976 TensorFlow vulnerable to `CHECK` fail in `QuantizeAndDequantizeV3`

Impact If QuantizeAndDequantizeV3 is given a nonscalar numbits input tensor, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf signedinput = True rangegiven = False narrowrange = False axis = -1 input = tf.constant-3.5, shape=1,...

PT-2026-56215

Name of the Vulnerable Software and Affected Versions Open Neural Network Exchange ONNX versions 1.9.0 through 1.21.0 Description Processing an untrusted model with an Upsample node containing zero inputs can lead to an unrecoverable denial of service. The issue occurs when the onnx.version...

CVE-2026-34153

Coolify is an open-source and self-hostable tool for managing servers, applications, and databases. Prior to 4.0.0-beta.471, LocalFileVolume::saveStorageOnServer builds shell commands using unescaped fspath and parentdir values before validation, and submitFileStorage does not validate the...

CVE-2026-34049

Coolify is an open-source and self-hostable tool for managing servers, applications, and databases. From 4.0.0-beta.451 through 4.0.0-beta.470, database backup handling for MongoDB collection names did not fully validate shell metacharacters, allowing a highly privileged attacker who can configur...

EUVD-2026-24979

comm: FIFO/pipe inputs are drained before comparison data loss / hang...

comm: FIFO/pipe inputs are drained before comparison (data loss / hang)

The comm utility in uutils coreutils incorrectly consumes data from non-regular file inputs before performing comparison operations. The arefilesidentical function opens and reads from both input paths to compare content without first verifying if the paths refer to regular files. If an input pat...

CVE-2026-43825

Apache OpenNLP versions before 3.0.0-M4 are vulnerable to Untrusted Java Deserialization within the libsvm document categorization module (introduced in OPENNLP-1808). The root cause is that the SvmDoccatModel.deserialize(InputStream) method calls readObject() using java.io.ObjectInputStream with...

PYSEC-2026-943 Segfault and OOB write due to incomplete validation in `EditDistance` in TensorFlow

Impact The implementation of tf.rawops.EditDistance has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service: python import tensorflow as tf hypothesisindices = tf.constant-1250999896764, shape=3, 3, dtype=tf.int64 hypothesisvalues =...

PYSEC-2026-1026 Missing validation results in undefined behavior in `QuantizedConv2D`

Impact The implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments: python import tensorflow as tf input = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 filter = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 bad args mininput = tf.constant, shape=0,...

ClamAV InstallShield DoS

The vulnerability of the InstallShield file processing mechanism used by the ClamAV antivirus software is related to the unlimited distribution of resources. Exploiting this vulnerability allows a malicious actor, operating remotely, to cause service interruptions by sending a specially crafted...

CVE-2026-59094 Pathway - Unauthenticated Denial of Service via Exponential Glob Pattern Matching in Document Store

Pathway through 0.31.1, fixed in commit d09722e, document store applies a caller-supplied glob pattern to indexed document paths using a hand-written recursive matcher that branches two ways on each token without memoization, giving exponential worst-case complexity. The filepathglobpattern value...

CVE-2026-59094 Pathway - Unauthenticated Denial of Service via Exponential Glob Pattern Matching in Document Store

Pathway through 0.31.1, fixed in commit d09722e, document store applies a caller-supplied glob pattern to indexed document paths using a hand-written recursive matcher that branches two ways on each token without memoization, giving exponential worst-case complexity. The filepathglobpattern value...