7218 matches found
`CHECK_EQ` fail in `tf.raw_ops.TensorListResize`
ImpactIf tf.rawops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack.pythonimport numpy as npimport tensorflow as tfa = datastructures.tftensorlistnewelements = tf.constantvalue=3, 4, 5b = np.zeros0, 2, 3,...
Segfault in `tf.raw_ops.TensorListConcat`
ImpactIf tf.rawops.TensorListConcat is given elementshape=, it results segmentation fault which can be used to trigger a denial of service attack.pythonimport tensorflow as tftf.rawops.TensorListConcat inputhandle=tf.data.experimental.tovarianttf.data.Dataset.fromtensorslices1, 2, 3,...
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 `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 `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 `QuantizedAvgPool`
ImpactIf QuantizedAvgPool is given mininput or maxinput tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfksize = 1, 2, 2, 1strides = 1, 2, 2, 1padding = "SAME"input = tf.constant1, shape=1,4,4,2,...
TensorFlow vulnerable to `CHECK` fail in `TensorListScatter` and `TensorListScatterV2`
ImpactWhen TensorListScatter and TensorListScatterV2 receive an elementshape of a rank greater than one, they give a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfarg0=tf.random.uniformshape=2, 2, 2, dtype=tf.float16, maxval=Nonearg1=tf.random.uniformshape=2,...
TensorFlow vulnerable to `CHECK` fail in `DrawBoundingBoxes`
ImpactWhen DrawBoundingBoxes receives an input boxes that is not of dtype float, 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=1, 3, 2, 3, shape=1, 3, 2, 3,...
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 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 `DenseBincount`
ImpactDenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfbinaryoutput = Trueinput =...
PYSEC-2026-3441
URL path injection via unencoded user-supplied identifiers vulnerability in Apache Gravitino.This issue affects Apache Gravitino: from 1.0.0 before 1.2.1.Users are recommended to upgrade to version 1.2.1, which fixes the issue...
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...
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...
Heap buffer overflow due to incorrect hash function in TensorFlow
ImpactThe TensorKey hash function used total estimated AllocatedBytes, which a is an estimate per tensor, and b is a very poor hash function for constants e.g. int32t. It also tried to access individual tensor bytes through tensor.data of size AllocatedBytes. This led to ASAN failures because the...
Heap buffer overflow due to incorrect hash function in TensorFlow
ImpactThe TensorKey hash function used total estimated AllocatedBytes, which a is an estimate per tensor, and b is a very poor hash function for constants e.g. int32t. It also tried to access individual tensor bytes through tensor.data of size AllocatedBytes. This led to ASAN failures because the...
Type confusion leading to `CHECK`-failure based denial of service in TensorFlow
ImpactThe macros that TensorFlow uses for writing assertions e.g., CHECKLT, CHECKGT, etc. have an incorrect logic when comparing sizet and int values. Due to type conversion rules, several of the macros would trigger incorrectly. PatchesWe have patched the issue in GitHub commit...
Segfault and OOB write due to incomplete validation in `EditDistance` in TensorFlow
ImpactThe implementation of tf.rawops.EditDistance has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service:pythonimport tensorflow as tfhypothesisindices = tf.constant-1250999896764, shape=3, 3, dtype=tf.int64 hypothesisvalues = tf.constant0...
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 =...
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...
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,...
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...
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...
Overflow and uncaught divide by zero in Tensorflow
Impact The implementation of UnravelIndex is vulnerable to a division by zero caused by an integer overflow bug:pythonimport tensorflow as tftf.rawops.UnravelIndexindices=-0x100000,dims=0x100000,0x100000 PatchesWe have patched the issue in GitHub commit 58b34c6c8250983948b5a781b426f6aa01fd47af. T...
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...
`CHECK`-fails when building invalid tensor shapes in Tensorflow
Impact Multiple operations in TensorFlow can be used to trigger a denial of service via CHECK-fails i.e., assertion failures. This is similar to TFSA-2021-198 CVE-2021-41197 and has similar fixes. PatchesWe have patched the reported issues in multiple GitHub commits. It is possible that other...
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...
Uninitialized variable access in Tensorflow
ImpactThe implementation of AssignOp can result in copying unitialized data to a new tensor. This later results in undefined behavior.The implementation has a check that the left hand side of the assignment is initialized to minimize number of allocations, but does not check that the right hand...
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 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 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...
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
An out-of-bounds read was discovered in OpenCV before 4.1.1 OpenCV-Python before 4.1.0.25. Specifically, variable coarsestscale is assumed to be greater than or equal to finestscale within the calc/oclcalc functions in disflow.cpp. However, this is not true when dealing with small images, leading...
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...
Out-of-bounds Write in OpenCV
OpenCV Open Source Computer Vision Library 3.3 corresponding to OpenCV-Python 3.3.0.9 has an out-of-bounds write error in the function FillColorRow1 in utils.cpp when reading an image file by using cv::imread. NOTE: this vulnerability exists because of an incomplete fix for CVE-2017-12597...
Improper Restriction of Operations within the Bounds of a Memory Buffer in OpenCV
OpenCV 3.3.1 corresponding with opencv-python and opencv-contrib-python 3.3.1.11 has a Buffer Overflow in the cv::PxMDecoder::readData function in grfmtpxm.cpp, because an incorrect size value is used...
Reachable Assertion in OpenCV.
In OpenCV 3.3.1 corresponds with OpenCV-Python 3.3.1.11, an assertion failure happens in cv::RBaseStream::setPos in modules/imgcodecs/src/bitstrm.cpp because of an incorrect integer cast...
PYSEC-2026-2215
Mistune is a Python Markdown parser with renderers and plugins. Prior to 3.3.0, the Include directive in src/mistune/directives/include.py detects only direct self-includes and not indirect cycles, allowing two markdown files that include each other to trigger unbounded recursion, raise...
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...
Django vulnerable to partial directory traversal via archives
An issue was discovered in Django 4.2 before 4.2.25, 5.1 before 5.1.13, and 5.2 before 5.2.7. The django.utils.archive.extract function, used by the "startapp --template" and "startproject --template" commands, allows partial directory traversal via an archive with file paths sharing a common...
vLLM is vulnerable to Server-Side Request Forgery (SSRF) through `MediaConnector` class
SummaryA Server-Side Request Forgery SSRF vulnerability exists in the MediaConnector class within the vLLM project's multimodal feature set. The loadfromurl and loadfromurlasync methods fetch and process media from user-provided URLs without adequate restrictions on the target hosts. This allows ...
JupyterLab LaTeX typesetter links did not enforce `noopener` attribute
Links generated with LaTeX typesetters in Markdown files and Markdown cells in JupyterLab and Jupyter Notebook did not include the noopener attribute.This is deemed to have no impact on the default installations. Theoretically users of third-party LaTeX-rendering extensions could find themselves...
ml-logger has path traversal in the file argument
A vulnerability was identified in geyang ml-logger 0.10.36 and prior. Affected by this vulnerability is the function loghandler of the file mllogger/server.py. Such manipulation of the argument File leads to path traversal. It is possible to launch the attack remotely. The exploit is publicly...
pip's fallback tar extraction doesn't check symbolic links point to extraction directory
When extracting a tar archive pip may not check symbolic links point into the extraction directory if the tarfile module doesn't implement PEP 706. Note that upgrading pip to a "fixed" version for this vulnerability doesn't fix all known vulnerabilities that are remediated by using a Python versi...
xml2rfc is vulnerable to arbitrary file reads through prepped files
ImpactWhen generating PDF files, this vulnerability allows an attacker to read arbitrary files from the filesystem by injecting malicious link element into the prepped RFCXML. WorkaroundsTest untrusted input with link elements with rel="attachment" before processing. ReferencesThis is related to...
Neo4j Cypher MCP server is vulnerable to DNS rebinding
ImpactDNS rebinding vulnerability in Neo4j Cypher MCP server allows malicious websites to bypass Same-Origin Policy protections and execute unauthorised tool invocations against locally running Neo4j MCP instances. The attack relies on the user being enticed to visit a malicious website and spend...
Hugging Face Transformers is vulnerable to ReDoS through its MarianTokenizer
A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's removelanguagecode method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from...
OctoPrint is Vulnerable to RCE Attacks via Unsanitized Filename in File Upload
ImpactOctoPrint versions up until and including 1.11.2 contain a vulnerability that allows an authenticated attacker to upload a file under a specially crafted filename that will allow arbitrary command execution if said filename becomes included in a command defined in a system event handler and...