7316 matches found
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 null dereference on MLIR on empty function attributes
ImpactWhen mlir::tfg::ConvertGenericFunctionToFunctionDef is given empty function attributes, it gives a null dereference.cpp// Import the function attributes with a tf. prefix to match the current// infrastructure expectations.for const auto& namedAttr : func.attr const std::string& name = "tf."...
TensorFlow vulnerable to null dereference on MLIR on empty function attributes
ImpactWhen mlir::tfg::ConvertGenericFunctionToFunctionDef is given empty function attributes, it gives a null dereference.cpp// Import the function attributes with a tf. prefix to match the current// infrastructure expectations.for const auto& namedAttr : func.attr const std::string& name = "tf."...
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 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 `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 null-dereference in `mlir::tfg::GraphDefImporter::ConvertNodeDef`
ImpactWhen mlir::tfg::GraphDefImporter::ConvertNodeDef tries to convert NodeDefs without an op name, it crashes.cppStatus GraphDefImporter::ConvertNodeDefOpBuilder , ConversionState , const NodeDef VLOG4 opdef; else auto it = functionopdefs.findnode.op; if it == functionopdefs.end return...
TensorFlow vulnerable to null-dereference in `mlir::tfg::GraphDefImporter::ConvertNodeDef`
ImpactWhen mlir::tfg::GraphDefImporter::ConvertNodeDef tries to convert NodeDefs without an op name, it crashes.cppStatus GraphDefImporter::ConvertNodeDefOpBuilder , ConversionState , const NodeDef VLOG4 opdef; else auto it = functionopdefs.findnode.op; if it == functionopdefs.end return...
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 `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` 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 `tensorflow::full_type::SubstituteFromAttrs`
ImpactWhen tensorflow::fulltype::SubstituteFromAttrs receives a FullTypeDef& t that is not exactly three args, it triggers a CHECK-fail instead of returning a status.cppStatus SubstituteForEachAttrMap& attrs, FullTypeDef& t DCHECKEQt.argssize, 3; const auto& cont = t.args0; const auto& tmpl =...
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 `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` 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 `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 assertion fail on MLIR empty edge names
ImpactWhen mlir::tfg::ConvertGenericFunctionToFunctionDef is given empty function attributes, it crashes.cpp// We pre-allocate the array of operands and populate it using the// outputnametoposition and controloutputtoposition populated// previously.SmallVector retvalsfunc.retsize +...
TensorFlow vulnerable to null-dereference in `mlir::tfg::TFOp::nameAttr`
ImpactWhen mlir::tfg::TFOp::nameAttr receives null type list attributes, it crashes.cppStatusOr GraphDefImporter::ArgNumTypeconst NamedAttrList , const OpDef::ArgDef def, SmallVectorImpl // Check whether a type list attribute is specified. if !argdef.typelistattr.empty if auto v =...
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 =...
TensorFlow vulnerable to `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs`
ImpactWhen tensorflow::fulltype::SubstituteFromAttrs receives a FullTypeDef& t that is not exactly three args, it triggers a CHECK-fail instead of returning a status.cppStatus SubstituteForEachAttrMap& attrs, FullTypeDef& t DCHECKEQt.argssize, 3; const auto& cont = t.args0; const auto& tmpl =...
TensorFlow vulnerable to assertion fail on MLIR empty edge names
ImpactWhen mlir::tfg::ConvertGenericFunctionToFunctionDef is given empty function attributes, it crashes.cpp// We pre-allocate the array of operands and populate it using the// outputnametoposition and controloutputtoposition populated// previously.SmallVector retvalsfunc.retsize +...
TensorFlow vulnerable to null-dereference in `mlir::tfg::TFOp::nameAttr`
ImpactWhen mlir::tfg::TFOp::nameAttr receives null type list attributes, it crashes.cppStatusOr GraphDefImporter::ArgNumTypeconst NamedAttrList , const OpDef::ArgDef def, SmallVectorImpl // Check whether a type list attribute is specified. if !argdef.typelistattr.empty if auto v =...
TensorFlow vulnerable to integer overflow in math ops
ImpactWhen RangeSize receives values that do not fit into an int64t, it crashes.cpp auto size = std::isintegral::value ? Eigen::numext::abslimit - start + Eigen::numext::absdelta - T1 / Eigen::numext::absdelta : Eigen::numext::ceil Eigen::numext::abslimit - start / delta; // This check does not...
TensorFlow vulnerable to integer overflow in math ops
ImpactWhen RangeSize receives values that do not fit into an int64t, it crashes.cpp auto size = std::isintegral::value ? Eigen::numext::abslimit - start + Eigen::numext::absdelta - T1 / Eigen::numext::absdelta : Eigen::numext::ceil Eigen::numext::abslimit - start / delta; // This check does not...
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 =...
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 `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` 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,...
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,...
TensorFlow segfault TFLite converter on per-channel quantized transposed convolutions
ImpactWhen converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process.pythonimport tensorflow as tfclass QuantConv2DTransposedtf.keras.layers.Layer: def buildself, inputshape: self.kernel = self.addweight"kernel", 3, 3,...
TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel`
ImpactIf 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.pythonimport tensorflow as tfnumbits = 8narrowrange = Falseinputs = tf.constant0, shape=4, dtype=tf.float32min =...
TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel`
ImpactIf 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.pythonimport tensorflow as tfnumbits = 8narrowrange = Falseinputs = tf.constant0, shape=4, dtype=tf.float32min =...
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 `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 segfault TFLite converter on per-channel quantized transposed convolutions
ImpactWhen converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process.pythonimport tensorflow as tfclass QuantConv2DTransposedtf.keras.layers.Layer: def buildself, inputshape: self.kernel = self.addweight"kernel", 3, 3,...
PYSEC-2026-3442
Authenticated SSRF in Gravitino JobManager allows server-side HTTP requests to internal network and cloud metadata endpoints via unvalidated job template URIs. A vulnerability in Apache Gravitino.This issue affects Apache Gravitino: from 1.0.0 through 1.2.1.Users are recommended to upgrade to...
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...
PYSEC-0000-CVE-2026-56260
Crawl4AI before 0.8.7 contains an arbitrary file write vulnerability in the Docker API server's /screenshot and /pdf endpoints. The outputpath parameter accepts arbitrary filesystem paths without validation, allowing an attacker to supply absolute or path-traversal values to write to any location...
PYSEC-2026-3449
Crawl4AI before 0.8.7 contains an arbitrary file write vulnerability in the Docker API server's /screenshot and /pdf endpoints. The outputpath parameter accepts arbitrary filesystem paths without validation, allowing an attacker to supply absolute or path-traversal values to write to any location...
PYSEC-0000-CVE-2026-56259
Crawl4AI before 0.8.8 contains credential exfiltration vulnerabilities in the Docker API server that allow attackers to redirect LLM API calls to attacker-controlled endpoints and read arbitrary environment variables. Attackers can exploit the unauthenticated /md, /llm, and /llm/job endpoints by...
PYSEC-2026-3448
Crawl4AI before 0.8.8 contains credential exfiltration vulnerabilities in the Docker API server that allow attackers to redirect LLM API calls to attacker-controlled endpoints and read arbitrary environment variables. Attackers can exploit the unauthenticated /md, /llm, and /llm/job endpoints by...
PYSEC-2026-3443
Crawl4AI before 0.8.7 contains a server-side request forgery SSRF vulnerability in the Docker API server's /crawl/job and /llm/job endpoints, which accept webhook URLs without destination validation. An attacker can supply webhook URLs pointing to private or internal IP ranges, Docker networks, o...
TensorFlow vulnerable to `CHECK` failure in tf.reshape via overflows
ImpactThe implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure assertion failure caused by overflowing the number of elements in a tensor:pythonimport tensorflow as tftf.reshapetensor=1,shape=tf.constant0 for i in range255, dtype=tf.int64This is...
TensorFlow vulnerable to `CHECK` fail in `tf.sparse.cross`
ImpactIf tf.sparse.cross receives an input separator that is not a scalar, it gives a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tftf.sparse.crossinputs=,name='a',separator=tf.constant'a', 'b',dtype=tf.string PatchesWe have patched the issue in...
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...
TensorFlow vulnerable to `CHECK` fail in `tf.sparse.cross`
ImpactIf tf.sparse.cross receives an input separator that is not a scalar, it gives a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tftf.sparse.crossinputs=,name='a',separator=tf.constant'a', 'b',dtype=tf.string PatchesWe have patched the issue in...
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...
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...
TensorFlow vulnerable to OOB read in `Gather_nd` in TF Lite
ImpactThe GatherNd function 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 is triggered. PatchesWe have patched the issue in GitHub commit...