Total
3031 CVE
CVE | Vendors | Products | Updated | CVSS v3.1 |
---|---|---|---|---|
CVE-2021-30309 | 1 Qualcomm | 86 Mdm9650, Mdm9650 Firmware, Qca6174a and 83 more | 2024-08-03 | 7.8 High |
Improper size validation of QXDM commands can lead to memory corruption in Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile | ||||
CVE-2021-30268 | 1 Qualcomm | 274 Apq8009w, Apq8009w Firmware, Apq8017 and 271 more | 2024-08-03 | 7.8 High |
Possible heap Memory Corruption Issue due to lack of input validation when sending HWTC IQ Capture command in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables | ||||
CVE-2021-30191 | 1 Codesys | 1 V2 Web Server | 2024-08-03 | 7.5 High |
CODESYS V2 Web-Server before 1.1.9.20 has a a Buffer Copy without Checking the Size of the Input. | ||||
CVE-2021-30184 | 2 Fedoraproject, Gnu | 2 Fedora, Chess | 2024-08-03 | 7.8 High |
GNU Chess 6.2.7 allows attackers to execute arbitrary code via crafted PGN (Portable Game Notation) data. This is related to a buffer overflow in the use of a .tmp.epd temporary file in the cmd_pgnload and cmd_pgnreplay functions in frontend/cmd.cc. | ||||
CVE-2021-30045 | 1 Serenityos | 1 Serenityos | 2024-08-03 | 9.1 Critical |
SerenityOS 2021-03-27 contains a buffer overflow vulnerability in the EndOfCentralDirectory::read() function. | ||||
CVE-2021-30123 | 1 Ffmpeg | 1 Ffmpeg | 2024-08-03 | 8.8 High |
FFmpeg <=4.3 contains a buffer overflow vulnerability in libavcodec through a crafted file that may lead to remote code execution. | ||||
CVE-2021-29989 | 2 Mozilla, Redhat | 5 Firefox, Firefox Esr, Thunderbird and 2 more | 2024-08-03 | 8.8 High |
Mozilla developers reported memory safety bugs present in Firefox 90 and Firefox ESR 78.12. Some of these bugs showed evidence of memory corruption and we presume that with enough effort some of these could have been exploited to run arbitrary code. This vulnerability affects Thunderbird < 78.13, Firefox ESR < 78.13, and Firefox < 91. | ||||
CVE-2021-29967 | 2 Mozilla, Redhat | 5 Firefox, Firefox Esr, Thunderbird and 2 more | 2024-08-03 | 8.8 High |
Mozilla developers reported memory safety bugs present in Firefox 88 and Firefox ESR 78.11. Some of these bugs showed evidence of memory corruption and we presume that with enough effort some of these could have been exploited to run arbitrary code. This vulnerability affects Thunderbird < 78.11, Firefox < 89, and Firefox ESR < 78.11. | ||||
CVE-2021-29976 | 2 Mozilla, Redhat | 5 Firefox, Firefox Esr, Thunderbird and 2 more | 2024-08-03 | 8.8 High |
Mozilla developers reported memory safety bugs present in code shared between Firefox and Thunderbird. Some of these bugs showed evidence of memory corruption and we presume that with enough effort some of these could have been exploited to run arbitrary code. This vulnerability affects Thunderbird < 78.12, Firefox ESR < 78.12, and Firefox < 90. | ||||
CVE-2021-29612 | 1 Google | 1 Tensorflow | 2024-08-03 | 3.6 Low |
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a heap buffer overflow in Eigen implementation of `tf.raw_ops.BandedTriangularSolve`. The implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L269-L278) calls `ValidateInputTensors` for input validation but fails to validate that the two tensors are not empty. Furthermore, since `OP_REQUIRES` macro only stops execution of current function after setting `ctx->status()` to a non-OK value, callers of helper functions that use `OP_REQUIRES` must check value of `ctx->status()` before continuing. This doesn't happen in this op's implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L219), hence the validation that is present is also not effective. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. | ||||
CVE-2021-29512 | 1 Google | 1 Tensorflow | 2024-08-03 | 2.5 Low |
TensorFlow is an end-to-end open source platform for machine learning. If the `splits` argument of `RaggedBincount` does not specify a valid `SparseTensor`(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the `splits` tensor buffer in the implementation of the `RaggedBincount` op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L433). Before the `for` loop, `batch_idx` is set to 0. The user controls the `splits` array, making it contain only one element, 0. Thus, the code in the `while` loop would increment `batch_idx` and then try to read `splits(1)`, which is outside of bounds. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are also affected. | ||||
CVE-2021-29540 | 1 Google | 1 Tensorflow | 2024-08-03 | 2.5 Low |
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow to occur in `Conv2DBackpropFilter`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1b0296c3b8dd9bd948f924aa8cd62f87dbb7c3da/tensorflow/core/kernels/conv_grad_filter_ops.cc#L495-L497) computes the size of the filter tensor but does not validate that it matches the number of elements in `filter_sizes`. Later, when reading/writing to this buffer, code uses the value computed here, instead of the number of elements in the tensor. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. | ||||
CVE-2021-29520 | 1 Google | 1 Tensorflow | 2024-08-03 | 2.5 Low |
TensorFlow is an end-to-end open source platform for machine learning. Missing validation between arguments to `tf.raw_ops.Conv3DBackprop*` operations can result in heap buffer overflows. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/4814fafb0ca6b5ab58a09411523b2193fed23fed/tensorflow/core/kernels/conv_grad_shape_utils.cc#L94-L153) assumes that the `input`, `filter_sizes` and `out_backprop` tensors have the same shape, as they are accessed in parallel. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. | ||||
CVE-2021-29464 | 3 Exiv2, Fedoraproject, Redhat | 3 Exiv2, Fedora, Enterprise Linux | 2024-08-03 | 3.3 Low |
Exiv2 is a command-line utility and C++ library for reading, writing, deleting, and modifying the metadata of image files. A heap buffer overflow was found in Exiv2 versions v0.27.3 and earlier. The heap overflow is triggered when Exiv2 is used to write metadata into a crafted image file. An attacker could potentially exploit the vulnerability to gain code execution, if they can trick the victim into running Exiv2 on a crafted image file. Note that this bug is only triggered when writing the metadata, which is a less frequently used Exiv2 operation than reading the metadata. For example, to trigger the bug in the Exiv2 command-line application, you need to add an extra command-line argument such as `insert`. The bug is fixed in version v0.27.4. | ||||
CVE-2021-29220 | 1 Hp | 1 Ilo Amplifier Pack | 2024-08-03 | 7.2 High |
Multiple buffer overflow security vulnerabilities have been identified in HPE iLO Amplifier Pack version(s): Prior to 2.12. These vulnerabilities could be exploited by a highly privileged user to remotely execute code that could lead to a loss of confidentiality, integrity, and availability. HPE has provided a software update to resolve this vulnerability in HPE iLO Amplifier Pack. | ||||
CVE-2021-29302 | 1 Tp-link | 2 Tl-wr802n, Tl-wr802n Firmware | 2024-08-03 | 8.1 High |
TP-Link TL-WR802N(US), Archer_C50v5_US v4_200 <= 2020.06 contains a buffer overflow vulnerability in the httpd process in the body message. The attack vector is: The attacker can get shell of the router by sending a message through the network, which may lead to remote code execution. | ||||
CVE-2021-29297 | 1 Emerson | 1 Proficy Machine Edition | 2024-08-03 | 5.3 Medium |
Buffer Overflow in Emerson GE Automation Proficy Machine Edition v8.0 allows an attacker to cause a denial of service and application crash via crafted traffic from a Man-in-the-Middle (MITM) attack to the component "FrameworX.exe" in the module "MSVCR100.dll". | ||||
CVE-2021-29219 | 1 Hpe | 14 Flexnetwork 5130 Jg932a, Flexnetwork 5130 Jg932a Firmware, Flexnetwork 5130 Jg933a and 11 more | 2024-08-03 | 7.8 High |
A potential local buffer overflow vulnerability has been identified in HPE FlexNetwork 5130 EL Switch Series version: Prior to 5130_EI_7.10.R3507P02. HPE has made the following software update to resolve the vulnerability in HPE FlexNetwork 5130 EL Switch Series version 5130_EL_7.10.R3507P02. | ||||
CVE-2021-29202 | 1 Hp | 29 Integrated Lights-out 4, Integrated Lights-out 5, Proliant Bl460c Gen10 Server Blade and 26 more | 2024-08-03 | 6.7 Medium |
A local buffer overflow vulnerability was discovered in HPE Integrated Lights-Out 4 (iLO 4); HPE SimpliVity 380 Gen9; HPE Integrated Lights-Out 5 (iLO 5) for HPE Gen10 Servers; HPE SimpliVity 380 Gen10; HPE SimpliVity 2600; HPE SimpliVity 380 Gen10 G; HPE SimpliVity 325; HPE SimpliVity 380 Gen10 H version(s): Prior to version 2.78. | ||||
CVE-2021-29068 | 1 Netgear | 160 Ac2100, Ac2100 Firmware, Ac2400 and 157 more | 2024-08-03 | 9.9 Critical |
Certain NETGEAR devices are affected by a buffer overflow by an authenticated user. This affects R6700v3 before 1.0.4.98, R6400v2 before 1.0.4.98, R7000 before 1.0.11.106, R6900P before 1.3.2.124, R7000P before 1.3.2.124, R7900 before 1.0.4.26, R7850 before 1.0.5.60, R8000 before 1.0.4.58, RS400 before 1.5.0.48, R6400 before 1.0.1.62, R6700 before 1.0.2.16, R6900 before 1.0.2.16, MK60 before 1.0.5.102, MR60 before 1.0.5.102, MS60 before 1.0.5.102, CBR40 before 2.5.0.10, R8000P before 1.4.1.62, R7960P before 1.4.1.62, R7900P before 1.4.1.62, RAX15 before 1.0.1.64, RAX20 before 1.0.1.64, RAX75 before 1.0.3.102, RAX80 before 1.0.3.102, RAX200 before 1.0.2.102, RAX45 before 1.0.2.64, RAX50 before 1.0.2.64, EX7500 before 1.0.0.68, EAX80 before 1.0.1.62, EAX20 before 1.0.0.36, RBK752 before 3.2.16.6, RBK753 before 3.2.16.6, RBK753S before 3.2.16.6, RBK754 before 3.2.16.6, RBR750 before 3.2.16.6, RBS750 before 3.2.16.6, RBK852 before 3.2.16.6, RBK853 before 3.2.16.6, RBK854 before 3.2.16.6, RBR850 before 3.2.16.6, RBS850 before 3.2.16.6, RBR840 before 3.2.16.6, RBS840 before 3.2.16.6, R6120 before 1.0.0.70, R6220 before 1.1.0.100, R6230 before 1.1.0.100, R6260 before 1.1.0.76, R6850 before 1.1.0.76, R6350 before 1.1.0.76, R6330 before 1.1.0.76, D7800 before 1.0.1.58, RBK50 before 2.6.1.40, RBR50 before 2.6.1.40, RBS50 before 2.6.1.40, RBK40 before 2.6.1.36, RBR40 before 2.6.1.36, RBS40 before 2.6.1.38, RBK23 before 2.6.1.36, RBR20 before 2.6.1.38, RBS20 before 2.6.1.38, RBK12 before 2.6.1.44, RBK13 before 2.6.1.44, RBK14 before 2.6.1.44, RBK15 before 2.6.1.44, RBR10 before 2.6.1.44, RBS10 before 2.6.1.44, R6800 before 1.2.0.72, R6900v2 before 1.2.0.72, R6700v2 before 1.2.0.72, R7200 before 1.2.0.72, R7350 before 1.2.0.72, R7400 before 1.2.0.72, R7450 before 1.2.0.72, AC2100 before 1.2.0.72, AC2400 before 1.2.0.72, AC2600 before 1.2.0.72, R7800 before 1.0.2.74, R8900 before 1.0.5.24, R9000 before 1.0.5.24, RAX120 before 1.0.1.136, XR450 before 2.3.2.66, XR500 before 2.3.2.66, XR700 before 1.0.1.34, and XR300 before 1.0.3.50. |