Rucio WebUI has a Stored Cross-site Scripting (XSS) vulnerability its Identity Name

SummaryA stored Cross-site Scripting XSS vulnerability was identified in the Identity Name of the WebUI where attacker-controlled input is persisted by the backend and later rendered in the WebUI without proper output encoding. This allows arbitrary JavaScript execution in the context of the WebU...

Apache Airflow error reporting may expose full kwargs

When a DAG failed during parsing, Airflow’s error-reporting in the UI could include the full kwargs passed to the operators. If those kwargs contained sensitive values such as secrets, they might be exposed in the UI tracebacks to authenticated users who had permission to view that DAG.The issue...

Pydantic AI has Server-Side Request Forgery (SSRF) in URL Download Handling

SummaryA Server-Side Request Forgery SSRF vulnerability exists in Pydantic AI's URL download functionality. When applications accept message history from untrusted sources, attackers can include malicious URLs that cause the server to make HTTP requests to internal network resources, potentially...

Composio Command Execution vulnerability

composio =0.5.40 is vulnerable to Command Execution in composioopenai, composioclaude, and composiojulep via the handletoolcalls function...

Composio Command Execution vulnerability

composio =0.5.40 is vulnerable to Command Execution in composioopenai, composioclaude, and composiojulep via the handletoolcalls function...

Litestar and Starlite vulnerable to Path Traversal

SummaryLocal File Inclusion via Path Traversal in LiteStar Static File ServingA Local File Inclusion LFI vulnerability has been discovered in the static file serving component of LiteStar. This vulnerability allows attackers to exploit path traversal flaws, enabling unauthorized access to sensiti...

TensorFlow has segfault in array_ops.upper_bound

Impactarrayops.upperbound causes a segfault when not given a rank 2 tensor. PatchesWe have patched the issue in GitHub commit 915884fdf5df34aaedd00fc6ace33a2cfdefa586.The fix will be included in TensorFlow 2.13. We will also cherrypick this commit in TensorFlow 2.12.1. For more informationPlease...

Apache Airflow CNCF Kubernetes provider, Apache Airflow: Kubernetes configuration file saved without encryption in the Metadata and logged as plain text in the Triggerer service

Since version 5.2.0, when using deferrable mode with the path of a Kubernetes configuration file for authentication, the Airflow worker serializes this configuration file as a dictionary and sends it to the triggerer by storing it in metadata without any encryption. Additionally, if used with an...

TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`

ImpactWhen the parameter summarize of tf.rawops.Print is zero, the new method SummarizeArray will reference to a nullptr, leading to a seg fault.pythonimport tensorflow as tftf.rawops.Printinput = tf.constant1, 1, 1, 1,dtype=tf.int32, data = False, False, False, False, False, False, False, False,...

TensorFlow has Null Pointer Error in LookupTableImportV2

ImpactThe function tf.rawops.LookupTableImportV2 cannot handle scalars in the values parameter and gives an NPE.pythonimport tensorflow as tfv = [email protected]=Truedef test: func = tf.rawops.LookupTableImportV2 para='tablehandle': v.handle,'keys': 62.98910140991211,...

TensorFlow has Null Pointer Error in LookupTableImportV2

ImpactThe function tf.rawops.LookupTableImportV2 cannot handle scalars in the values parameter and gives an NPE.pythonimport tensorflow as tfv = [email protected]=Truedef test: func = tf.rawops.LookupTableImportV2 para='tablehandle': v.handle,'keys': 62.98910140991211,...

TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize

ImpactNPE in QuantizedMatMulWithBiasAndDequantize with MKL enable pythonimport tensorflow as tffunc = tf.rawops.QuantizedMatMulWithBiasAndDequantizepara='a': tf.constant138, dtype=tf.quint8, 'b': tf.constant4, dtype=tf.qint8, 'bias': 31.81644630432129, 47.21876525878906, 109.95201110839844,...

TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad

ImpactOut of bounds read in GRUBlockCellGradpythonfunc = tf.rawops.GRUBlockCellGradpara = 'x': 21.1, 156.2, 83.3, 115.4, 'hprev': array136.5, 136.6, 'wru': array26.7, 0.8, 47.9, 26.1, 26.2, 26.3, 'wc': array 0.4, 31.5, 0.6, 'bru': array0.1, 0.2 , dtype=float32, 'bc': 0x41414141, 'r': array0.3, 0....

Tensorflow vulnerable to Out-of-Bounds Read

ImpactWhen the BaseCandidateSamplerOp function receives a value in trueclasses larger than rangemax, a heap oob vuln occurs.pythontf.rawops.ThreadUnsafeUnigramCandidateSampler trueclasses=0x100000,1, numtrue = 2, numsampled = 2, unique = False, rangemax = 2, seed = 2, seed2 = 2 PatchesWe have...

Out of bounds write in grappler in Tensorflow

ImpactThe function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. PatchesWe have patched the issue in GitHub commit...

Out of bounds write in grappler in Tensorflow

ImpactThe function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. PatchesWe have patched the issue in GitHub commit...

TensorFlow vulnerable to `CHECK` fail in `Save` and `SaveSlices`

ImpactIf 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.pythonimport tensorflow as tffilename = tf.constant""tensornames = tf.constant"" Savedata = tf.casttf.random.uniformshape=1, 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 `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 `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 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,...

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

ImpactThe 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.pythonimport tensorflow as tftf.rawops.SobolSampledim=tf.constant1,0, numresults=tf.constant1, skip=tf.constant1 PatchesWe...

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...

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 `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 `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,...

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...

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...

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...

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 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 ...

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,...