`CHECK_EQ` fail via input in `SparseMatrixNNZ`

ImpactAn input sparsematrix that is not a matrix with a shape with rank 0 will trigger a CHECK fail in tf.rawops.SparseMatrixNNZ.pythonimport tensorflow as tftf.rawops.SparseMatrixNNZsparsematrix= PatchesWe have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693.The fix...

`CHECK` fail via inputs in `SdcaOptimizer`

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

`CHECK_EQ` fail via input in `SparseMatrixNNZ`

ImpactAn input sparsematrix that is not a matrix with a shape with rank 0 will trigger a CHECK fail in tf.rawops.SparseMatrixNNZ.pythonimport tensorflow as tftf.rawops.SparseMatrixNNZsparsematrix= PatchesWe have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693.The fix...

`CHECK` fail via inputs in `SparseFillEmptyRowsGrad`

ImpactIf SparseFillEmptyRowsGrad is given empty inputs, TensorFlow will crash.pythonimport tensorflow as tftf.rawops.SparseFillEmptyRowsGrad reverseindexmap=, gradvalues=, name=None PatchesWe have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8.The fix will be included...

`CHECK` fail via inputs in `SparseFillEmptyRowsGrad`

ImpactIf SparseFillEmptyRowsGrad is given empty inputs, TensorFlow will crash.pythonimport tensorflow as tftf.rawops.SparseFillEmptyRowsGrad reverseindexmap=, gradvalues=, name=None PatchesWe have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8.The fix will be included...

`CHECK` fail in `BCast` overflow

ImpactIf BCast::ToShape is given input larger than an int32, it will crash, despite being supposed to handle up to an int64. An example can be seen in tf.experimental.numpy.outer by passing in large input to the input b.pythonimport tensorflow as tfvalue = tf.constantshape=2, 1024, 1024, 1024,...

Out of bounds segmentation fault due to unequal op inputs in Tensorflow

Impact tf.rawops.DynamicStitch specifies input sizes when it is registered. cppREGISTEROP"DynamicStitch" .Input"indices: N int32" .Input"data: N T" .Output"merged: T" .Attr"N : int = 1" .Attr"T : type" .SetShapeFnDynamicStitchShapeFunction;When it receives a differing number of inputs, such as wh...

Out of bounds segmentation fault due to unequal op inputs in Tensorflow

Impact tf.rawops.DynamicStitch specifies input sizes when it is registered. cppREGISTEROP"DynamicStitch" .Input"indices: N int32" .Input"data: N T" .Output"merged: T" .Attr"N : int = 1" .Attr"T : type" .SetShapeFnDynamicStitchShapeFunction;When it receives a differing number of inputs, such as wh...

TensorFlow vulnerable to `CHECK` fail in `ParameterizedTruncatedNormal`

ImpactParameterizedTruncatedNormal assumes shape is of type int32. A valid shape of type int64 results in a mismatched type CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfseed = 1618seed2 = 0shape = tf.random.uniformshape=3, minval=-10000,...

TensorFlow vulnerable to `CHECK` fail in `tf.linalg.matrix_rank`

ImpactWhen tf.linalg.matrixrank receives an empty input a, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfa = tf.constant, shape=0, 1, 1, dtype=tf.float32tf.linalg.matrixranka=a PatchesWe have patched the issue in GitHub commi...

TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`

ImpactFractionalMaxPoolGrad validates its inputs with CHECK failures instead of with returning errors. If it gets incorrectly sized inputs, the CHECK failure can be used to trigger a denial of service attack:pythonimport tensorflow as tfoverlapping = Trueoriginput = tf.constant.453409232,...

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,...

TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`

ImpactThe implementation of FractionalAvgPoolGrad does not fully validate the input originputtensorshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack.pythonimport tensorflow as tfoverlapping = Trueoriginputtensorshape =...

TensorFlow vulnerable to floating point exception in `Conv2D`

ImpactIf Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as npwith tf.device"CPU": also can be...

TensorFlow vulnerable to segfault in `Requantize`

ImpactIf 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.pythonimport tensorflow as tfouttype = tf.quint8input = tf.constant1, shape=3, dtype=tf.qint32inputmin...

TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`

ImpactWhen tf.quantization.fakequantwithminmaxvarsgradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as np arg0=tf.constantvalue=np.random.randomsize=2, 2, shape=2, 2,...

TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`

ImpactThe 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.pythonimport tensorflow as tfimport numpy as npvalue = np.ones1, 1, 1, 1ksize = 1, 1e20, 1, 1strides = 1, 1, 1, 1padding =...

TensorFlow vulnerable to `CHECK` fail in `QuantizeAndDequantizeV3`

ImpactIf 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.pythonimport tensorflow as tfsignedinput = Truerangegiven = Falsenarrowrange = Falseaxis = -1input = tf.constant-3.5, shape=1,...

PYSEC-0000-CVE-2026-59151

Prowler is a cloud security platform. Prior to 5.30.3, Prowler's SAML authentication flow trusted the email domain asserted in a SAMLResponse when deciding which tenant should receive the final token, and the ACS finish logic in api/src/backend/api/v1/views.py recalculated the tenant from...

TensorFlow vulnerable to OOB write in `scatter_nd` in TF Lite

ImpactThe ScatterNd function takes an input argument that determines the indices of of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash. PatchesWe have patched the issue in GitHub commit...

Integer overflow in `SpaceToBatchND`

ImpactThe implementation of tf.rawops.SpaceToBatchND in all backends such as XLA and handwritten kernels is vulnerable to an integer overflow:pythonimport tensorflow as tfinput = tf.constant-3.5e+35, shape=10,19,22, dtype=tf.float32blockshape = tf.constant-1879048192, shape=2,...

Missing validation results in undefined behavior in `SparseTensorDenseAdd

ImpactThe implementation of tf.rawops.SparseTensorDenseAdd does not fully validate the input arguments:pythonimport tensorflow as tfaindices = tf.constant0, shape=17, 2, dtype=tf.int64avalues = tf.constant, shape=0, dtype=tf.float32ashape = tf.constant6, 12, shape=2, dtype=tf.int64b =...

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 `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,...

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...

Insecure temporary file in Tensorflow

ImpactIn multiple places, TensorFlow uses tempfile.mktemp to create temporary files. While this is acceptable in testing, in utilities and libraries it is dangerous as a different process can create the file between the check for the filename in mktemp and the actual creation of the file by a...

Out of bounds write in Tensorflow

ImpactTensorFlow is vulnerable to a heap OOB write in Grappler:ccStatus SetUnknownShapeconst NodeDef node, int outputport shapeinference::ShapeHandle shape = GetUnknownOutputShapenode, outputport; InferenceContext ctx = GetContextnode; if ctx == nullptr return errors::InvalidArgument"Missing...

Memory exhaustion in Tensorflow

Impact The implementation of ThreadPoolHandle can be used to trigger a denial of service attack by allocating too much memory:pythonimport tensorflow as tfy = tf.rawops.ThreadPoolHandlenumthreads=0x60000000,displayname='tf'This is because the numthreads argument is only checked to not be negative...

Heap overflow in Tensorflow

Impact The implementation of SparseCountSparseOutput is vulnerable to a heap overflow:pythonimport tensorflow as tfimport numpy as nptf.rawops.SparseCountSparseOutput indices=-1,-1, values=2, denseshape=1, 1, weights=1, binaryoutput=True, minlength=-1, maxlength=-1, name=None PatchesWe have patch...

Abort caused by allocating a vector that is too large in Tensorflow

ImpactDuring 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.The...

Out-of-bounds Write in OpenCV

An exploitable heap buffer overflow vulnerability exists in the data structure persistence functionality of OpenCV 4.1.0 corresponds with OpenCV-Python 4.1.0.25. A specially crafted XML file can cause a buffer overflow, resulting in multiple heap corruptions and potential code execution. An...

Out-of-bounds Read in OpenCV

OpenCV 4.1.1 has an out-of-bounds read in halbaseline::vload in core/hal/intrinsse.hpp when called from computeSSDMeanNorm in modules/video/src/disflow.cpp...

NULL Pointer Dereference in OpenCV.

An issue was discovered in OpenCV before 4.1.1 OpenCV-Python before 4.1.1.26. There is a NULL pointer dereference in the function cv::XMLParser::parse at modules/core/src/persistence.cpp...

Integer Overflow or Wraparound in OpenCV

In opencv/modules/imgcodecs/src/grfmtpxm.cpp, function ReadNumber did not checkout the input length, which lead to integer overflow. If the image is from remote, may lead to remote code execution or denial of service. This affects OpenCV 3.3 corresponding with OpenCV-Python version 3.3.0.9 and...

SSRF attacks via tracebacks in Plone

Plone before 5.2.3 allows SSRF attacks via the tracebacks feature only available to the Manager role...

SSRF attacks via tracebacks in Plone

Plone before 5.2.3 allows SSRF attacks via the tracebacks feature only available to the Manager role...

Improper Input Validation in OpenCV

OpenCV 3.0.0 allows remote attackers to cause a denial of service segfault via vectors involving corrupt chunks. This issue was fixed in OpenCV version 3.3.1 corresponding to OpenCV 3.3.1.11...

PYSEC-2026-2213

Mistune is a Python Markdown parser with renderers and plugins. Prior to 3.3.0, long sequences of well-formed double-asterisk or triple-asterisk emphasis pairs around a character cause quadratic work in src/mistune/inlineparser.py because the parser scans forward for matching close markers from...

Wagtail has improper permission handling on admin preview endpoints

ImpactDue to a missing permission check on the preview endpoints, a user with access to the Wagtail admin and knowledge of a model's fields can craft a form submission to obtain a preview rendering of any page, snippet or site setting object for which previews are enabled, consisting of any data ...

AutoGPT is Vulnerable to RCE via Disabled Block Execution

SummaryAutoGPT Platform's block execution endpoints both main web API and external API allow executing blocks by UUID without checking the disabled flag. Any authenticated user can execute the disabled BlockInstallationBlock, which writes arbitrary Python code to the server filesystem and execute...

filelock Time-of-Check-Time-of-Use (TOCTOU) Symlink Vulnerability in SoftFileLock

Vulnerability SummaryTitle: Time-of-Check-Time-of-Use TOCTOU Symlink Vulnerability in SoftFileLockAffected Component: filelock package - SoftFileLock classFile: src/filelock/soft.py lines 17-27CWE: CWE-362, CWE-367, CWE-59--- DescriptionA TOCTOU race condition vulnerability exists in the...

Weblate leaks information via screenshots

ImpactThe screenshot images were served directly by the HTTP server without proper access control. This could allow an unauthenticated user to access screenshots after guessing their filename. Patches https://github.com/WeblateOrg/weblate/pull/17516 ReferencesThanks to Lukas May and Michael Leu f...

NiceGUI apps which use `ui.sub_pages` vulnerable to zero-click XSS

SummaryAn unsafe implementation in the pushstate event listener used by ui.subpages allows an attacker to manipulate the fragment identifier of the URL, which they can do despite being cross-site, using an iframe. DetailsThe problem is traced as follows:1. On pushstate, handleStateEvent is...

Langflow Missing Authentication on Critical API Endpoints

SummaryMultiple critical API endpoints in Langflow are missing authentication controls, allowing any unauthenticated user to access sensitive user conversation data, transaction histories, and perform destructive operations including message deletion. This affects endpoints handling personal data...

MLflow Weak Password Requirements Authentication Bypass Vulnerability

MLflow Weak Password Requirements Authentication Bypass Vulnerability. This vulnerability allows remote attackers to bypass authentication on affected installations of MLflow. Authentication is not required to exploit this vulnerability.The specific flaw exists within the handling of passwords. T...

Synapse's invalid device keys degrade federation functionality

ImpactLack of validation for device keys in Synapse before 1.138.3 and in Synapse 1.139.0 allow an attacker registered on the victim homeserver to degrade federation functionality, unpredictably breaking outbound federation to other homeservers. PatchesPatched in Synapse 1.138.3, 1.138.4, 1.139.1...

NiceGUI has a Reflected XSS

SummaryA Cross-Site Scripting XSS risk exists in NiceGUI when developers render unescaped user input into the DOM using ui.html. Before version 3.0, NiceGUI does not enforce HTML or JavaScript sanitization, so applications that directly combine components like ui.input with ui.html without escapi...