Missing validation causes denial of service via `Conv3DBackpropFilterV2`

ImpactThe implementation of tf.rawops.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tftf.strings.unsortedsegmentjoin inputs='123', segmentids=0, numsegments=-1The...

Missing validation results in undefined behavior in `QuantizedConv2D`

ImpactThe implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments:pythonimport tensorflow as tfinput = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8filter = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 bad argsmininput = tf.constant, shape=0,...

Missing validation results in undefined behavior in `QuantizedConv2D`

ImpactThe implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments:pythonimport tensorflow as tfinput = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8filter = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 bad argsmininput = tf.constant, shape=0,...

Missing validation causes denial of service via `LSTMBlockCell`

ImpactThe implementation of tf.rawops.LSTMBlockCell does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tftf.rawops.LSTMBlockCell x=tf.constant0.837607, shape=28,29, dtype=tf.float32,...

Missing validation causes denial of service via `Conv3DBackpropFilterV2`

ImpactThe 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:pythonimport tensorflow as tftf.rawops.Conv3DBackpropFilterV2 input=tf.constant.5053710941,...

Missing validation causes denial of service via `Conv3DBackpropFilterV2`

ImpactThe 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:pythonimport tensorflow as tftf.rawops.Conv3DBackpropFilterV2 input=tf.constant.5053710941,...

Missing validation causes denial of service via `LSTMBlockCell`

ImpactThe implementation of tf.rawops.LSTMBlockCell does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tftf.rawops.LSTMBlockCell x=tf.constant0.837607, shape=28,29, dtype=tf.float32,...

Missing validation causes denial of service via `SparseTensorToCSRSparseMatrix`

ImpactThe implementation of tf.rawops.SparseTensorToCSRSparseMatrix does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tfindices = tf.constant53, shape=3, dtype=tf.int64values =...

Missing validation causes denial of service via `UnsortedSegmentJoin`

ImpactThe implementation of tf.rawops.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tftf.rawops.UnsortedSegmentJoin inputs=tf.constant"this", shape=12,...

Missing validation causes denial of service via `StagePeek`

ImpactThe implementation of tf.rawops.StagePeek does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tfindex = tf.constant, shape=0, dtype=tf.int32tf.rawops.StagePeekindex=index,...

Missing validation causes denial of service via `UnsortedSegmentJoin`

ImpactThe implementation of tf.rawops.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tftf.rawops.UnsortedSegmentJoin inputs=tf.constant"this", shape=12,...

Missing validation causes denial of service via `SparseTensorToCSRSparseMatrix`

ImpactThe implementation of tf.rawops.SparseTensorToCSRSparseMatrix does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tfindices = tf.constant53, shape=3, dtype=tf.int64values =...

Missing validation causes denial of service via `LoadAndRemapMatrix`

ImpactThe implementation of tf.rawops.LoadAndRemapMatrix does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tfckptpath = tf.constant "/tmp/warmstartingutiltest5kl2a3pc/tmpph76tep2/model-0"...

Missing validation causes denial of service via `LoadAndRemapMatrix`

ImpactThe implementation of tf.rawops.LoadAndRemapMatrix does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tfckptpath = tf.constant "/tmp/warmstartingutiltest5kl2a3pc/tmpph76tep2/model-0"...

Missing validation causes denial of service via `StagePeek`

ImpactThe implementation of tf.rawops.StagePeek does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tfindex = tf.constant, shape=0, dtype=tf.int32tf.rawops.StagePeekindex=index,...

Missing validation causes denial of service via `DeleteSessionTensor`

ImpactThe implementation of tf.rawops.DeleteSessionTensor does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tfhandle = tf.constant"", shape=0,...

Missing validation causes denial of service via `GetSessionTensor`

ImpactThe implementation of tf.rawops.GetSessionTensor does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tfhandle = tf.constant"", shape=0,...

Missing validation crashes `QuantizeAndDequantizeV4Grad`

ImpactThe implementation of tf.rawops.QuantizeAndDequantizeV4Grad does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tftf.rawops.QuantizeAndDequantizeV4Grad gradients=tf.constant1,...

Plone Privilege Escallation

plone.restapi in Plone 5.2.0 through 5.2.1 allows users with a certain privilege level to escalate their privileges up to the highest level...

matrix-sydent and matrix-synapse Use Cryptographically Weak PRNG

An issue was discovered in Matrix Sydent before 1.0.3 and Synapse before 0.99.3.1. Random number generation is mishandled, which makes it easier for attackers to predict a Sydent authentication token or a Synapse random ID...

Missing validation causes denial of service via `DeleteSessionTensor`

ImpactThe implementation of tf.rawops.DeleteSessionTensor does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tfhandle = tf.constant"", shape=0,...

Missing validation causes denial of service via `GetSessionTensor`

ImpactThe implementation of tf.rawops.GetSessionTensor does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tfhandle = tf.constant"", shape=0,...

Missing validation crashes `QuantizeAndDequantizeV4Grad`

ImpactThe implementation of tf.rawops.QuantizeAndDequantizeV4Grad does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tftf.rawops.QuantizeAndDequantizeV4Grad gradients=tf.constant1,...

OpenStack Cinder, Glance, and Nova contain Uncontrolled Resource Consumption

The image parser in OpenStack Cinder prior to 7.0.2, and 8.0.0 and above, prior to 9.0.0; Glance prior to 14.00; and Nova prior to 12.0.4 does not properly limit qemu-img calls, which might allow attackers to cause a denial of service memory and disk consumption via a crafted disk image. This iss...

Products.CMFPlone Open Redirect Vulnerability

When you visit a page where you need to login, Plone 2.5-5.1rc1 sends you to the login form with a 'camefrom' parameter set to the previous url. After you login, you get redirected to the page you tried to view before. An attacker might try to abuse this by letting you click on a specially crafte...

Missing validation causes `TensorSummaryV2` to crash

ImpactThe implementation of tf.rawops.TensorSummaryV2 does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport numpy as npimport tensorflow as tftf.rawops.TensorSummaryV2 tag=np.array'test', tensor=np.array3,...

Products.CMFPlone XSS in profile home_page property

A member of the Plone site could set javascript in the homepage property of their profile, and have this executed when a visitor clicks the home page link on the author page...

Plone unauthorized member addition vulnerability

Plone 3.3.0 through 3.3.6, 4.0.0 through 4.0.10, 4.1.0 through 4.1.6, 4.2.0 through 4.2.7, 4.3.0 through 4.3.6, and 5.0rc1 allows remote attackers to add a new member to a Plone site with registration enabled, without acknowledgment of site administrator...

Missing validation causes `TensorSummaryV2` to crash

ImpactThe implementation of tf.rawops.TensorSummaryV2 does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:pythonimport numpy as npimport tensorflow as tftf.rawops.TensorSummaryV2 tag=np.array'test', tensor=np.array3,...

Paste Script has improper group memberships permissions

Paste Script 1.7.5 and earlier does not properly set group memberships during execution with root privileges, which might allow remote attackers to bypass intended file-access restrictions by leveraging a web application that uses the local filesystem...

OpenStack Cinder, Glance, and Nova contain Uncontrolled Resource Consumption

The image parser in OpenStack Cinder prior to 7.0.2, and 8.0.0 and above, prior to 9.0.0; Glance prior to 14.00; and Nova prior to 12.0.4 does not properly limit qemu-img calls, which might allow attackers to cause a denial of service memory and disk consumption via a crafted disk image. This iss...

Tryton vulnerable to arbitrary command execution

The safeeval function in trytond in Tryton before 2.4.15, 2.6.x before 2.6.14, 2.8.x before 2.8.11, 3.0.x before 3.0.7, and 3.2.x before 3.2.3 allows remote authenticated users to execute arbitrary commands via shell metacharacters in 1 the collection.domain in the webdav module or 2 the formula...

OpenStack Keystone and other components vulnerable to Improper Certificate Validation

HTTPSConnections in OpenStack Keystone 2013, OpenStack Compute 2013.1, and possibly other OpenStack components, fail to validate server-side SSL certificates...

OpenStack Identity Keystone and keystonemiddleware Insufficiently Protected Credentials

The identity service in OpenStack Identity Keystone before 2015.1.3 Kilo and 8.0.x before 8.0.2 Liberty and keystonemiddleware formerly python-keystoneclient before 1.5.4 Kilo and Liberty before 2.3.3 does not properly invalidate authorization tokens when using the PKI or PKIZ token providers,...

XML Entity Expansion in trytond and proteus

An XML Entity Expansion XEE issue was discovered in Tryton Application Platform Server 5.x through 5.0.45, 6.x through 6.0.15, and 6.1.x and 6.2.x through 6.2.5, and Tryton Application Platform Command Line Client proteus 5.x through 5.0.11, 6.x through 6.0.4, and 6.1.x and 6.2.x through 6.2.1. A...

Improper Neutralization of Input During Web Page Generation in Jupyter Notebook

An XSSI cross-site inclusion vulnerability in Jupyter Notebook before 5.7.6 allows inclusion of resources on malicious pages when visited by users who are authenticated with a Jupyter server. Access to the content of resources has been demonstrated with Internet Explorer through capturing of erro...

OpenStack Keystone and other components vulnerable to Improper Certificate Validation

HTTPSConnections in OpenStack Keystone 2013, OpenStack Compute 2013.1, and possibly other OpenStack components, fail to validate server-side SSL certificates...

OpenStack Keystone and other components vulnerable to Improper Certificate Validation

HTTPSConnections in OpenStack Keystone 2013, OpenStack Compute 2013.1, and possibly other OpenStack components, fail to validate server-side SSL certificates...

Zope XSS Vulnerability

Cross-site scripting XSS vulnerability in Zope 2.8.x before 2.8.12, 2.9.x before 2.9.12, 2.10.x before 2.10.11, 2.11.x before 2.11.6, and 2.12.x before 2.12.3, 3.1.1 through 3.4.1. allows remote attackers to inject arbitrary web script or HTML via vectors related to the way error messages perform...

Division by zero in Tensorflow

Impact The implementation of FractionalMaxPool can be made to crash a TensorFlow process via a division by 0:pythonimport tensorflow as tfimport numpy as nptf.rawops.FractionalMaxPool value=tf.constantvalue=1, 4, 2, 3, dtype=tf.int64, poolingratio=1.0, 1.44, 1.73, 1.0, pseudorandom=False,...

Integer overflow in Tensorflow

ImpactThe implementation of OpLevelCostEstimator::CalculateOutputSize is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements:ccfor const auto& dim : outputshape.dim outputsize = dim.size; Here, we can have a lar...

Memory leak in Tensorflow

ImpactIf a graph node is invalid, TensorFlow can leak memory in the implementation of ImmutableExecutorState::Initialize:ccStatus s = params.createkerneln-properties, &item-;kernel;if !s.ok item-kernel = nullptr; s = AttachDefs, n; return s; Here, we set item-kernel to nullptr but it is a simple...

Improper Restriction of XML External Entity Reference in trytond and proteus

An XXE issue was discovered in Tryton Application Platform Server 5.x through 5.0.45, 6.x through 6.0.15, and 6.1.x and 6.2.x through 6.2.5, and Tryton Application Platform Command Line Client proteus 5.x through 5.0.11, 6.x through 6.0.4, and 6.1.x and 6.2.x through 6.2.1. An authenticated user...

`CHECK`-failures in binary ops in Tensorflow

ImpactA malicious user can cause a denial of service by altering a SavedModel such that any binary op would trigger CHECK failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the dtype no longer matches the dtype expected by the op. In that case...

Null-dereference in Tensorflow

ImpactThe implementation of GetInitOp is vulnerable to a crash caused by dereferencing a null pointer:ccconst auto& initopsigit = metagraphdef.signaturedef.findkSavedModelInitOpSignatureKey;if initopsigit != sigdefmap.end initopname = initopsigit-second.outputs .findkSavedModelInitOpSignatureKey...

`CHECK`-failures during Grappler's `SafeToRemoveIdentity` in Tensorflow

ImpactThe Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a SavedModel such that SafeToRemoveIdentity would trigger CHECK failures. PatchesWe have patched the issue in GitHub commit 92dba16749fae36c246bec3f9ba474d9ddeb7662.The fix will be included in TensorFl...

Integer overflow in Tensorflow

ImpactThe implementation of OpLevelCostEstimator::CalculateTensorSize is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements:ccint64t OpLevelCostEstimator::CalculateTensorSize const OpInfo::TensorProperties&...

`CHECK`-failures in `TensorByteSize` in Tensorflow

ImpactA malicious user can cause a denial of service by altering a SavedModel such that TensorByteSize would trigger CHECK failures.ccint64t TensorByteSizeconst TensorProto& t // numelements returns -1 if shape is not fully defined. int64t numelems = TensorShapet.tensorshape.numelements; return...

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:pythonimport tensorflow as [email protected] test: y = tf.rawops.ConcatV2 values=1,2,3,4,5,6, axis = 0xb500005b return ytestThe axis argument is...

Division by zero in Tensorflow

Impact The estimator for the cost of some convolution operations can be made to execute a division by 0:pythonimport tensorflow as [email protected] 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',...