144156 matches found
firefox: thunderbird: Memory safety bugs fixed in Firefox ESR 115.37, Firefox ESR 140.12, Thunderbird ESR 140.12, Firefox 152 and Thunderbird 152
A flaw was found in Firefox and Thunderbird. The Mozilla Foundation's Security Advisory describes the following issue: Memory safety bugs present in Firefox ESR 115.36, Firefox ESR 140.11, Thunderbird ESR 140.11, Firefox 151 and Thunderbird 151. Some of these bugs showed evidence of memory...
firefox: thunderbird: Memory safety bug fixed in Thunderbird ESR 140.12
A flaw was found in Firefox and Thunderbird. The Mozilla Foundation's Security Advisory describes the following issue: Memory safety bug fixed in Thunderbird ESR 140.12...
firefox: thunderbird: Memory safety bug fixed in Thunderbird ESR 140.12
A flaw was found in Firefox and Thunderbird. The Mozilla Foundation's Security Advisory describes the following issue: Memory safety bug fixed in Thunderbird ESR 140.12...
firefox: thunderbird: Memory safety bug fixed in Thunderbird ESR 140.12
A flaw was found in Firefox and Thunderbird. The Mozilla Foundation's Security Advisory describes the following issue: Memory safety bug fixed in Thunderbird ESR 140.12...
firefox: thunderbird: Same-origin policy bypass in the Networking: Cookies component
A flaw was found in Firefox and Thunderbird. The Mozilla Foundation's Security Advisory describes the following issue: Same-origin policy bypass in the Networking: Cookies component...
Important: Red Hat Security Advisory: firefox security update
An update for firefox is now available for Red Hat Enterprise Linux 9.6 Extended Update Support. Red Hat Product Security has rated this update as having a security impact of Important. A Common Vulnerability Scoring System CVSS base score, which gives a detailed severity rating, is available for...
PYSEC-2026-3168 TensorFlow vulnerable to `CHECK` failure in tf.reshape via overflows
Impact The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure assertion failure caused by overflowing the number of elements in a tensor: python import tensorflow as tf tf.reshapetensor=1,shape=tf.constant0 for i in range255, dtype=tf.int64 This i...
PYSEC-2026-3299 Core dump when loading TFLite models with quantization in TensorFlow
Impact Certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling...
PYSEC-2026-3269 TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`
Impact When Conv2DBackpropInput receives empty outbackprop inputs e.g. 3, 1, 0, 1, the current CPU/GPU kernels CHECK fail one with dnnl, the other with cudnn. This can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np inputsizes = 3, 1, 1, 2 filter =...
PYSEC-2026-3112 Undefined behavior when users supply invalid resource handles
Impact Multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid: python import tensorflow as tf tf.rawops.QueueIsClosedV2handle= python import tensorflow as tf tf.summary.flushwriter= In graph mode, it would have been impossible to perform these...
PYSEC-2026-3224 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,...
PYSEC-2026-3110 Missing validation causes denial of service via `Conv3DBackpropFilterV2`
Impact The implementation of tf.rawops.Conv3DBackpropFilterV2 does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf tf.rawops.Conv3DBackpropFilterV2 input=tf.constant.5053710941,...
PYSEC-2026-3134 Division by zero in Tensorflow
Impact The implementation of FractionalMaxPool can be made to crash a TensorFlow process via a division by 0: python import tensorflow as tf import numpy as np tf.rawops.FractionalMaxPool value=tf.constantvalue=1, 4, 2, 3, dtype=tf.int64, poolingratio=1.0, 1.44, 1.73, 1.0, pseudorandom=False,...
PYSEC-2026-3242 Division by zero in Tensorflow
Impact The estimator for the cost of some convolution operations can be made to execute a division by 0: python import tensorflow as tf @tf.function def test: y=tf.rawops.AvgPoolGrad originputshape=1,1,1,1, grad=1.0,1.0,1.0,2.0,2.0,2.0,3.0,3.0,3.0, ksize=1,1,1,1, strides=1,1,1,0, padding='VALID',...
PYSEC-2026-3232 Integer overflow in Tensorflow
Impact The implementation of Range suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. Patches We have patched the issue in GitHub commit f0147751fd5d2ff23251149ebad9af9f03010732 merging 51733. The fix will be included in...
PYSEC-2026-3240 Integer overflows in Tensorflow
Impact The implementations of SparseCwise ops are vulnerable to integer overflows. These can be used to trigger large allocations so, OOM based denial of service or CHECK-fails when building new TensorShape objects so, assert failures based denial of service: python import tensorflow as tf import...
PYSEC-2026-3223 Undefined behavior in `SparseTensorSliceDataset`
Impact The implementation of SparseTensorSliceDataset has an undefined behavior: under certain condition it can be made to dereference a nullptr value: python import tensorflow as tf import numpy as np tf.rawops.SparseTensorSliceDataset indices=, values=, denseshape=1,1 The 3 input arguments...
PYSEC-2026-3113 Abort caused by allocating a vector that is too large in Tensorflow
Impact During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user: cc const auto numdims = Valueshapedim; std::vector dims; dims.reservenumdims; Patches We have patched the issue in GitHub commit 1361fb7e29449629e1df94d44e0427ebec8c83c7. T...
DEBIAN-CVE-2026-23556
When oxenstored is tearing a domain down, the node data is cleaned up but the usage counts are leaked. When the domain ID is eventually reused, the new domain can create fewer nodes before beeing deemed to be over quota...
