MipCMS 代码问题漏洞

MipCMS is an application software. A content management system based on Baidu Mobile Accelerator MIP and an SEO website building system. mipCMS 5.0.1 has a server-side request forgery vulnerability that can be exploited by attackers to access sensitive information...

Unauthorized Access Vulnerability in Xiaodu Routing

Xiaodu Router is a smart router product launched by Baidu, which can transmit cloud data at will and support remote download of audio and video resources. Xiaodu Router has an unauthorized access vulnerability that can be exploited by attackers to obtain sensitive information...

Command Execution Vulnerability in Xiaodu Routing

Xiaodu Router is a smart router product launched by Baidu, which can transmit cloud data at will and support remote download of audio and video resources. Xiaodu Router has a command execution vulnerability that can be exploited by attackers to gain control of the server...

Command Execution Vulnerability in Xiaodu Route AV Version

Xiaodu Router is a smart router product launched by Baidu, which can transmit cloud data at will and support remote download of audio and video resources. Xiaodu Router AV version has a command execution vulnerability, which can be exploited by attackers to obtain server control privileges...

Aptar CMS has a flawed logic vulnerability

Aptar CMS website management system adopts PHP+MYSQL technology, supports pseudo-static function, can generate google and baidu maps, supports custom url, keywords and description, and facilitates SEO search. Aptar CMS has a logic flaw vulnerability that can be exploited by attackers to compromis...

EmailFinder - Search Emails From A Domain Through Search Engines

\ \ /| \ | /| /| \ || \ | | | | | \ | || | || | | | | \ \ || | | || | | | | \ || | || \ | /| | \ || / | \ \ /|/ |/ / |/ / | Author: @JosueEncinar | Description: Search emails from a domain through search engines. | Version: 0.1b | Usage: emailfinder -d domain.com Installation: pip3 install...

Baidu Love Sourcing Seller APP has information leakage vulnerability

Baidu Love Purchase Seller App is a client application that facilitates sellers to conveniently handle customer information. Baidu Love Purchase Seller App has an information leakage vulnerability that can be exploited by attackers to backup the app and obtain sensitive information...

Incomplete validation in `tf.raw_ops.CTCLoss`

Impact Incomplete validation in tf.rawops.CTCLoss allows an attacker to trigger an OOB read from heap: python import tensorflow as tf inputs = tf.constant, shape=10, 16, 0, dtype=tf.float32 labelsindices = tf.constant, shape=8, 0, dtype=tf.int64 labelsvalues = tf.constant-100 8, shape=8,...

Heap buffer overflow in `BandedTriangularSolve`

Impact An attacker can trigger a heap buffer overflow in Eigen implementation of tf.rawops.BandedTriangularSolve: python import tensorflow as tf import numpy as np matrixarray = np.array matrixtensor = tf.converttotensornp.reshapematrixarray,0,1,dtype=tf.float32 rhsarray = np.array1,1 rhstensor =...

Incomplete validation in `SparseReshape`

Impact Incomplete validation in SparseReshape results in a denial of service based on a CHECK-failure. python import tensorflow as tf inputindices = tf.constant41, shape=1, 1, dtype=tf.int64 inputshape = tf.zeros11, dtype=tf.int64 newshape = tf.zeros1, dtype=tf.int64...

Invalid validation in `QuantizeAndDequantizeV2`

Impact The validation in tf.rawops.QuantizeAndDequantizeV2 allows invalid values for axis argument: python import tensorflow as tf inputtensor = tf.constant0.0, shape=1, dtype=float inputmin = tf.constant-10.0 inputmax = tf.constant-10.0 tf.rawops.QuantizeAndDequantizeV2 input=inputtensor,...

Incomplete validation in `SparseAdd`

Impact Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior dereferencing null pointers as well as write outside of bounds of heap allocated data: python import tensorflow as tf aindices = tf.zeros10, 97, dtype=tf.int64 avalues = tf.zeros10, dtype=tf.int6...

Heap OOB and null pointer dereference in `RaggedTensorToTensor`

Impact Due to lack of validation in tf.rawops.RaggedTensorToTensor, an attacker can exploit an undefined behavior if input arguments are empty: python import tensorflow as tf shape = tf.constant-1, -1, shape=2, dtype=tf.int64 values = tf.constant, shape=0, dtype=tf.int64 defaultvalue =...

Heap buffer overflow and undefined behavior in `FusedBatchNorm`

Impact The implementation of tf.rawops.FusedBatchNorm is vulnerable to a heap buffer overflow: python import tensorflow as tf x = tf.zeros10, 10, 10, 6, dtype=tf.float32 scale = tf.constant0.0, shape=1, dtype=tf.float32 offset = tf.constant0.0, shape=1, dtype=tf.float32 mean = tf.constant0.0,...

Heap OOB read in `tf.raw_ops.Dequantize`

Impact Due to lack of validation in tf.rawops.Dequantize, an attacker can trigger a read from outside of bounds of heap allocated data: python import tensorflow as tf inputtensor=tf.constant 75, 75, 75, 75, -6, -9, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10,\ -10, -10, -10, -10, -10, -10,...

Segfault in `CTCBeamSearchDecoder`

Impact Due to lack of validation in tf.rawops.CTCBeamSearchDecoder, an attacker can trigger denial of service via segmentation faults: python import tensorflow as tf inputs = tf.constant, shape=18, 8, 0, dtype=tf.float32 sequencelength = tf.constant11, -43, -92, 11, -89, -83, -35, -100, shape=8,...

Undefined behavior and `CHECK`-fail in `FractionalMaxPoolGrad`

Impact The implementation of tf.rawops.FractionalMaxPoolGrad triggers an undefined behavior if one of the input tensors is empty: python import tensorflow as tf originput = tf.constant2, 3, shape=1, 1, 1, 2, dtype=tf.int64 origoutput = tf.constant, dtype=tf.int64 outbackprop = tf.zeros2, 3, 6, 6,...

Heap buffer overflow in `MaxPoolGrad`

Impact The implementation of tf.rawops.MaxPoolGrad is vulnerable to a heap buffer overflow: python import tensorflow as tf originput = tf.constant0.0, shape=1, 1, 1, 1, dtype=tf.float32 origoutput = tf.constant0.0, shape=1, 1, 1, 1, dtype=tf.float32 grad = tf.constant, shape=0, 0, 0, 0,...

Heap buffer overflow in `FractionalAvgPoolGrad`

Impact The implementation of tf.rawops.FractionalAvgPoolGrad is vulnerable to a heap buffer overflow: python import tensorflow as tf originputtensorshape = tf.constant1, 3, 2, 3, shape=4, dtype=tf.int64 outbackprop = tf.constant2, shape=1, 1, 1, 1, dtype=tf.int64 rowpoolingsequence = tf.constant1...

Heap buffer overflow in `AvgPool3DGrad`

Impact The implementation of tf.rawops.AvgPool3DGrad is vulnerable to a heap buffer overflow: python import tensorflow as tf originputshape = tf.constant10, 6, 3, 7, 7, shape=5, dtype=tf.int32 grad = tf.constant0.01, 0, 0, shape=3, 1, 1, 1, 1, dtype=tf.float32 ksize = 1, 1, 1, 1, 1 strides = 1, 1...