PYSEC-2026-941 `CHECK` fail via inputs in `SdcaOptimizer`

Impact Inputs densefeatures or examplestatedata not of rank 2 will trigger a CHECK fail in SdcaOptimizer. python import tensorflow as tf tf.rawops.SdcaOptimizer sparseexampleindices=4 tf.random.uniform5,5,5,3, dtype=tf.dtypes.int64, maxval=100, sparsefeatureindices=4 tf.random.uniform5,5,5,3,...

PYSEC-2026-1021 `CHECK` fail via inputs in `PyFunc`

Impact An input token that is not a UTF-8 bytestring will trigger a CHECK fail in tf.rawops.PyFunc. python import tensorflow as tf value = tf.constantvalue=1,2 token = b'\xb0' dataType = tf.int32 tf.rawops.PyFuncinput=value,token=token,Tout=dataType Patches We have patched the issue in GitHub...

PYSEC-2026-1017 TensorFlow vulnerable to `CHECK` fail in `Save` and `SaveSlices`

Impact If Save or SaveSlices is run over tensors of an unsupported dtype, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf filename = tf.constant"" tensornames = tf.constant"" Save data = tf.casttf.random.uniformshape=1,...

PYSEC-2026-940 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"...

PYSEC-2026-1036 TensorFlow vulnerable to `CHECK` failure in `TensorListReserve` via missing validation

Impact In core/kernels/listkernels.cc's TensorListReserve, numelements is assumed to be a tensor of size 1. When a numelements of more than 1 element is provided, then tf.rawops.TensorListReserve fails the CHECKEQ in CheckIsAlignedAndSingleElement. python import tensorflow as tf...

PYSEC-2026-1006 TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannelGradient`

Impact When tf.quantization.fakequantwithminmaxvarsperchannelgradient receives input min or max of rank other than 1, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg0=tf.random.uniformshape=1,1, dtype=tf.float32, maxval=None...

PYSEC-2026-1022 TensorFlow vulnerable to `CHECK` fail in `tf.random.gamma`

Impact When tf.random.gamma 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, dtype=tf.float64, maxval=None...

PYSEC-2026-1020 TensorFlow vulnerable to `CHECK` fail in `Unbatch`

Impact When Unbatch receives a nonscalar input id, 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=3, 3, 1, dtype=tf.float64 arg1=tf.constantvalue=np.random.randint0,100,size=3, 3, 1,...

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-2026-996 TensorFlow vulnerable to `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs`

Impact When tensorflow::fulltype::SubstituteFromAttrs receives a FullTypeDef& t that is not exactly three args, it triggers a CHECK-fail instead of returning a status. cpp Status SubstituteForEachAttrMap& attrs, FullTypeDef& t DCHECKEQt.argssize, 3; const auto& cont = t.args0; const auto& tmpl =...

PYSEC-2026-978 TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel`

Impact If FakeQuantWithMinMaxVarsPerChannel is given min or max tensors of a rank 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 numbits = 8 narrowrange = False inputs = tf.constant0, shape=4, dtype=tf.float32 min ...

PYSEC-2026-1016 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,...

PYSEC-2026-1019 TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`

Impact The AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program. python import tensorflow as tf import numpy as np value = np.ones1, 1, 1, 1 ksize = 1, 1e20, 1, 1 strides = 1, 1, 1, 1 padding = 'SAM...

Exploit for CVE-2026-53359

Januscape Hotfix — CVE-2026-53359 简体中文 Ze...

CVE-2026-34170 Coolify: Server-Side Request Forgery via attacker-controlled GitHub App API URL

Coolify is an open-source and self-hostable tool for managing servers, applications, and databases. Prior to 4.0.0-beta.471, the GithubApp apiurl field is used as the base URL for server-side HTTP requests without allowlisting or private IP blocking, allowing an authenticated user to configure a...

PT-2026-56233

Name of the Vulnerable Software and Affected Versions ghostfolio affected versions not specified Description The 'GET /api/v1/public/:accessId/portfolio' endpoint allows unauthenticated access to full portfolio data because it accepts private access IDs without validating granteeUserId filtering...

PT-2026-56220

Name of the Vulnerable Software and Affected Versions Joomla! Core affected versions not specified Description An improper access check in the com media webservice endpoints allows privileged users to overwrite media files even if they lack the necessary editing permissions. Recommendations At th...

PT-2026-56210

Name of the Vulnerable Software and Affected Versions EGroupware versions prior to 26.2.20260224 EGroupware versions prior to 23.1.20260224 Description An issue allows an authenticated attacker to execute arbitrary commands on the server, which may lead to full system compromise. If user...

PT-2026-56228

Name of the Vulnerable Software and Affected Versions Joomla! Core affected versions not specified Description An improper access check allows unauthorized users to access workflow stage and transition information within the com workflow component. Recommendations At the moment, there is no...

PT-2026-56229

Name of the Vulnerable Software and Affected Versions Joomla! CMS versions 4.0.0 through 5.4.6 Joomla! CMS versions 6.0.0 through 6.1.1 Description Improper access control in the com modules component allows users to display a list of modules in the frontend that they should not be able to see...