TensorFlow vulnerable to `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs`

Impact When tensorflow::fulltype::SubstituteFromAttrs receives a FullTypeDef& t that is not exactly three args, it triggers a CHECK-fail instead of returning a status. cpp Status SubstituteForEachAttrMap& attrs, FullTypeDef& t DCHECKEQt.argssize, 3; const auto& cont = t.args0; const auto& tmpl =...

GHSA-7J3M-8G3C-9QQQ TensorFlow vulnerable to null-dereference in `mlir::tfg::TFOp::nameAttr`

Impact When mlir::tfg::TFOp::nameAttr receives null type list attributes, it crashes. cpp StatusOr GraphDefImporter::ArgNumTypeconst NamedAttrList &attrs, const OpDef::ArgDef &argdef, SmallVectorImpl &types // Check whether a type list attribute is specified. if !argdef.typelistattr.empty if auto...

TensorFlow vulnerable to null-dereference in `mlir::tfg::TFOp::nameAttr`

Impact When mlir::tfg::TFOp::nameAttr receives null type list attributes, it crashes. cpp StatusOr GraphDefImporter::ArgNumTypeconst NamedAttrList &attrs, const OpDef::ArgDef &argdef, SmallVectorImpl &types // Check whether a type list attribute is specified. if !argdef.typelistattr.empty if auto...

GHSA-RH87-Q4VG-M45J TensorFlow vulnerable to integer overflow in math ops

Impact When 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

Impact When 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...

GHSA-JVHC-5HHR-W3V5 TensorFlow vulnerable to assertion fail on MLIR empty edge names

Impact When 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 assertion fail on MLIR empty edge names

Impact When 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 +...

GHSA-W62H-8XJM-FV49 TensorFlow vulnerable to `CHECK` fail in `DenseBincount`

Impact DenseBincount 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. python import tensorflow as tf binaryoutput = True input =...

TensorFlow vulnerable to `CHECK` fail in `DenseBincount`

Impact DenseBincount 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. python import tensorflow as tf binaryoutput = True input =...

GHSA-MGMH-G2V6-MQW5 TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`

Impact The 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. python import tensorflow as tf import numpy as np value = np.ones1, 1, 1, 1 ksize = 1, 1e20, 1, 1 strides = 1, 1, 1, 1 padding = 'SAM...

TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`

Impact The 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. python import tensorflow as tf import numpy as np value = np.ones1, 1, 1, 1 ksize = 1, 1e20, 1, 1 strides = 1, 1, 1, 1 padding = 'SAM...

GHSA-9CR2-8PWR-FHFQ TensorFlow vulnerable to `CHECK` fail in `QuantizeAndDequantizeV3`

Impact If 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. python import tensorflow as tf signedinput = True rangegiven = False narrowrange = False axis = -1 input = tf.constant-3.5, shape=1,...

TensorFlow vulnerable to `CHECK` fail in `QuantizeAndDequantizeV3`

Impact If 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. python import tensorflow as tf signedinput = True rangegiven = False narrowrange = False axis = -1 input = tf.constant-3.5, shape=1,...

CVE-2022-35981 `CHECK` fail in `FractionalMaxPoolGrad` in TensorFlow

TensorFlow is an open source platform for machine learning. FractionalMaxPoolGrad 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. We have patched the issue in GitHu...

CVE-2022-35981

TensorFlow’s FractionalMaxPoolGrad vulnerability (CVE-2022-35981) stems from input validation using CHECK failures instead of proper error handling, enabling a potential denial of service when inputs are incorrectly sized. A fix is available via commit 8741e57d163a079db05a7107a7609af70931def4, an...

CVE-2022-35981

TensorFlow is an open source platform for machine learning. FractionalMaxPoolGrad 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. We have patched the issue in GitHu...

CVE-2022-35981 `CHECK` fail in `FractionalMaxPoolGrad` in TensorFlow

TensorFlow is an open source platform for machine learning. FractionalMaxPoolGrad 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. We have patched the issue in GitHu...

CVE-2022-35981 `CHECK` fail in `FractionalMaxPoolGrad` in TensorFlow

TensorFlow is an open source platform for machine learning. FractionalMaxPoolGrad 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. We have patched the issue in GitHu...

CVE-2022-35971

TensorFlow is an open source platform for machine learning. If 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. We have patched the issue in GitHub commit...

CVE-2022-35972

TensorFlow is an open source platform for machine learning. If QuantizedBiasAdd is given mininput, maxinput, minbias, maxbias tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...