4175 matches found
TensorFlow vulnerable to `CHECK` fail in `AvgPoolGrad`
Impact The implementation of AvgPoolGrad does not fully validate the input originputshape. This results in a CHECK failure which 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 = "VALID" dataformat = "NHWC"...
TensorFlow vulnerable to segfault in `LowerBound` and `UpperBound`
Impact If LowerBound or UpperBound is given an emptysortedinputs input, it results in a nullptr dereference, leading to a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf outtype = tf.int32 sortedinputs = tf.constant, shape=10,0, dtype=tf.float32...
TensorFlow vulnerable to segfault in `BlockLSTMGradV2`
Impact The implementation of BlockLSTMGradV2 does not fully validate its inputs. - wci, wcf, wco, b must be rank 1 - w, csprev, hprev 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 usepeephole =...
TensorFlow vulnerable to `CHECK` failures in `AvgPool3DGrad`
Impact The implementation of AvgPool3DGradOp does not fully validate the input originputshape. 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 ksize = 1, 1, 1, 1, 1 strides = 1, 1, 1, 1, 1 padding ...
TensorFlow vulnerable to segfault in `Requantize`
Impact If Requantize is given inputmin, inputmax, requestedoutputmin, requestedoutputmax 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 outtype = tf.quint8 input = tf.constant1, shape=3, dtype=tf.qint32...
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 `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,...
TensorFlow vulnerable to `CHECK` fail in `RaggedTensorToVariant`
Impact If RaggedTensorToVariant is given a rtnestedsplits list that contains tensors of ranks other than one, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf batchedinput = True rtnestedsplits = tf.constant0,32,64, shape=3,...
TensorFlow vulnerable to `CHECK` failure in `SobolSample` via missing validation
Impact The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure assertion failure caused by assuming input0, input1, and input2 to be scalar. python import tensorflow as tf tf.rawops.SobolSampledim=tf.constant1,0, numresults=tf.constant1, skip=tf.constant1 Patche...
NLnet Labs Routinator has Reachable Assertion vulnerability
In NLnet Labs Routinator 0.9.0 up to and including 0.11.2, due to a mistake in error handling, data in RRDP snapshot and delta files which are not correctly base 64 encoded are treated as a fatal error and causes Routinator to exit. Worst case impact of this vulnerability is denial of service for...
GHSA-M4VX-CCRF-W399 NLnet Labs Routinator has Reachable Assertion vulnerability
In NLnet Labs Routinator 0.9.0 up to and including 0.11.2, due to a mistake in error handling, data in RRDP snapshot and delta files which are not correctly base 64 encoded are treated as a fatal error and causes Routinator to exit. Worst case impact of this vulnerability is denial of service for...
CVE-2022-3029
In NLnet Labs Routinator 0.9.0 up to and including 0.11.2, due to a mistake in error handling, data in RRDP snapshot and delta files that isn’t correctly base 64 encoded is treated as a fatal error and causes Routinator to exit. Worst case impact of this vulnerability is denial of service for the...
CVE-2022-3029
In NLnet Labs Routinator 0.9.0 up to and including 0.11.2, due to a mistake in error handling, data in RRDP snapshot and delta files that isn’t correctly base 64 encoded is treated as a fatal error and causes Routinator to exit. Worst case impact of this vulnerability is denial of service for the...
Design/Logic Flaw
In NLnet Labs Routinator 0.9.0 up to and including 0.11.2, due to a mistake in error handling, data in RRDP snapshot and delta files that isn’t correctly base 64 encoded is treated as a fatal error and causes Routinator to exit. Worst case impact of this vulnerability is denial of service for t...
CVE-2022-3029 Fatal error on incorrect base64 data in RRDP
In NLnet Labs Routinator 0.9.0 up to and including 0.11.2, due to a mistake in error handling, data in RRDP snapshot and delta files that isn’t correctly base 64 encoded is treated as a fatal error and causes Routinator to exit. Worst case impact of this vulnerability is denial of service for the...
CVE-2022-3029
NLnet Labs Routinator 0.9.0–0.11.2 is affected by a base64 encoding error in RRDP snapshot/delta processing that is treated as a fatal error, causing an eventual denial of service of the RPKI data provided to routers. The issue does not enable data manipulation. From Routinator 0.11.3 onwards, en...
Malicious Package
Overview @newfold-labs/wp-module-ecommerce is a malicious package. The package's name is based on existing repositories, namespaces, or components used by popular companies in an effort to trick employees into downloading it, also known as 'dependency confusion'. Therefore, you're only vulnerable...
CVE-2021-37819
PDF Labs pdftk-java v3.2.3 was discovered to contain an infinite loop via the component /text/pdf/PdfReader.java...
