Vulnerabilities (CVE)

Filtered by CWE-787
Total 12260 CVE
CVE Vendors Products Updated CVSS v2 CVSS v3
CVE-2021-29535 1 Google 1 Tensorflow 2024-11-21 4.6 MEDIUM 2.5 LOW
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedMul` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/87cf4d3ea9949051e50ca3f071fc909538a51cd0/tensorflow/core/kernels/quantized_mul_op.cc#L287-L290) assumes that the 4 arguments are always valid scalars and tries to access the numeric value directly. However, if any of these tensors is empty, then `.flat<T>()` is an empty buffer and accessing the element at position 0 results in overflow. 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 2024-11-21 4.6 MEDIUM 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-2021-29514 1 Google 1 Tensorflow 2024-11-21 4.6 MEDIUM 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-L446). Before the `for` loop, `batch_idx` is set to 0. The attacker sets `splits(0)` to be 7, hence the `while` loop does not execute and `batch_idx` remains 0. This then results in writing to `out(-1, bin)`, which is before the heap allocated buffer for the output tensor. 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-2021-29512 1 Google 1 Tensorflow 2024-11-21 4.6 MEDIUM 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-2021-29511 1 Evm Project 1 Evm 2024-11-21 4.0 MEDIUM 6.5 MEDIUM
evm is a pure Rust implementation of Ethereum Virtual Machine. Prior to the patch, when executing specific EVM opcodes related to memory operations that use `evm_core::Memory::copy_large`, the `evm` crate can over-allocate memory when it is not needed, making it possible for an attacker to perform denial-of-service attack. The flaw was corrected in commit `19ade85`. Users should upgrade to `==0.21.1, ==0.23.1, ==0.24.1, ==0.25.1, >=0.26.1`. There are no workarounds. Please upgrade your `evm` crate version.
CVE-2021-29464 2 Exiv2, Fedoraproject 2 Exiv2, Fedora 2024-11-21 6.8 MEDIUM 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-2021-29390 2 Fedoraproject, Libjpeg-turbo 2 Fedora, Libjpeg-turbo 2024-11-21 N/A 7.1 HIGH
libjpeg-turbo version 2.0.90 has a heap-based buffer over-read (2 bytes) in decompress_smooth_data in jdcoefct.c.
CVE-2021-29367 1 Irfanview 1 Irfanview 2024-11-21 6.8 MEDIUM 7.8 HIGH
A buffer overflow vulnerability in WPG+0x1dda of Irfanview 4.57 allows attackers to execute arbitrary code via a crafted WPG file.
CVE-2021-29366 1 Irfanview 1 Irfanview 2024-11-21 6.8 MEDIUM 7.8 HIGH
A buffer overflow vulnerability in FORMATS!GetPlugInInfo+0x2de9 of Irfanview 4.57 allows attackers to execute arbitrary code via a crafted RLE file.
CVE-2021-29364 1 Irfanview 1 Irfanview 2024-11-21 6.8 MEDIUM 7.8 HIGH
A buffer overflow vulnerability in Formats!ReadRAS_W+0x1001 of Irfanview 4.57 allows attackers to execute arbitrary code via a crafted RLE file.
CVE-2021-29363 1 Irfanview 1 Irfanview 2024-11-21 6.8 MEDIUM 7.8 HIGH
A buffer overflow vulnerability in FORMATS!ReadRAS_W+0xa74 of Irfanview 4.57 allows attackers to execute arbitrary code via a crafted RLE file.0xa74
CVE-2021-29362 1 Irfanview 1 Irfanview 2024-11-21 6.8 MEDIUM 7.8 HIGH
A buffer overflow vulnerability in FORMATS!ReadRAS_W+0xa30 of Irfanview 4.57 allows attackers to execute arbitrary code via a crafted RLE file.
CVE-2021-29361 1 Irfanview 1 Irfanview 2024-11-21 6.8 MEDIUM 7.8 HIGH
A buffer overflow vulnerability in FORMATS!Read_Utah_RLE+0x340 of Irfanview 4.57 allows attackers to execute arbitrary code via a crafted RLE file.
CVE-2021-29360 1 Irfanview 1 Irfanview 2024-11-21 6.8 MEDIUM 7.8 HIGH
A buffer overflow vulnerability in FORMATS!Read_Utah_RLE+0x37a of Irfanview 4.57 allows attackers to execute arbitrary code via a crafted RLE file.
CVE-2021-29327 1 Moddable 1 Moddable 2024-11-21 6.8 MEDIUM 7.8 HIGH
OpenSource Moddable v10.5.0 was discovered to contain a heap buffer overflow in the fx_ArrayBuffer function at /moddable/xs/sources/xsDataView.c.
CVE-2021-29326 1 Moddable 1 Moddable 2024-11-21 6.8 MEDIUM 7.8 HIGH
OpenSource Moddable v10.5.0 was discovered to contain a heap buffer overflow in the fxIDToString function at /moddable/xs/sources/xsSymbol.c.
CVE-2021-29325 1 Moddable 1 Moddable 2024-11-21 6.8 MEDIUM 7.8 HIGH
OpenSource Moddable v10.5.0 was discovered to contain a heap buffer overflow in the fx_String_prototype_repeat function at /moddable/xs/sources/xsString.c.
CVE-2021-29323 1 Moddable 1 Moddable 2024-11-21 4.3 MEDIUM 5.5 MEDIUM
OpenSource Moddable v10.5.0 was discovered to contain a heap buffer overflow via the component /modules/network/wifi/esp/modwifi.c.
CVE-2021-29279 1 Gpac 1 Gpac 2024-11-21 6.8 MEDIUM 7.8 HIGH
There is a integer overflow in function filter_core/filter_props.c:gf_props_assign_value in GPAC 1.0.1. In which, the arg const GF_PropertyValue *value,maybe value->value.data.size is a negative number. In result, memcpy in gf_props_assign_value failed.
CVE-2021-29081 1 Netgear 24 Rbk752, Rbk752 Firmware, Rbk753 and 21 more 2024-11-21 5.8 MEDIUM 8.4 HIGH
Certain NETGEAR devices are affected by a stack-based buffer overflow by an unauthenticated attacker. This affects RBW30 before 2.6.2.2, RBK852 before 3.2.17.12, RBK853 before 3.2.17.12, RBK854 before 3.2.17.12, RBR850 before 3.2.17.12, RBS850 before 3.2.17.12, RBK752 before 3.2.17.12, RBK753 before 3.2.17.12, RBK753S before 3.2.17.12, RBK754 before 3.2.17.12, RBR750 before 3.2.17.12, and RBS750 before 3.2.17.12.