Total
11736 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2021-29609 | 1 Google | 1 Tensorflow | 2021-05-20 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. 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. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_add_op.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. 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-2021-29578 | 1 Google | 1 Tensorflow | 2021-05-20 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.FractionalAvgPoolGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/dcba796a28364d6d7f003f6fe733d82726dda713/tensorflow/core/kernels/fractional_avg_pool_op.cc#L216) fails to validate that the pooling sequence arguments have enough elements as required by the `out_backprop` tensor shape. 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-2021-29579 | 1 Google | 1 Tensorflow | 2021-05-20 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/ab1e644b48c82cb71493f4362b4dd38f4577a1cf/tensorflow/core/kernels/maxpooling_op.cc#L194-L203) fails to validate that indices used to access elements of input/output arrays are valid. Whereas accesses to `input_backprop_flat` are guarded by `FastBoundsCheck`, the indexing in `out_backprop_flat` can result in OOB access. 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-2021-29577 | 1 Google | 1 Tensorflow | 2021-05-20 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.AvgPool3DGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/d80ffba9702dc19d1fac74fc4b766b3fa1ee976b/tensorflow/core/kernels/pooling_ops_3d.cc#L376-L450) assumes that the `orig_input_shape` and `grad` tensors have similar first and last dimensions but does not check that this assumption is validated. 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 | 2021-05-19 | 4.6 MEDIUM | 7.8 HIGH |
| 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-2021-31465 | 2 Foxitsoftware, Microsoft | 2 3d, Windows | 2021-05-19 | 6.8 MEDIUM | 7.8 HIGH |
| This vulnerability allows remote attackers to execute arbitrary code on affected installations of Foxit Reader 10.1.3.37598. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the handling of U3D objects in PDF files. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an allocated data structure. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-13582. | |||||
| CVE-2017-5957 | 2 Qemu, Virglrenderer Project | 2 Qemu, Virglrenderer | 2021-05-19 | 2.1 LOW | 5.5 MEDIUM |
| Stack-based buffer overflow in the vrend_decode_set_framebuffer_state function in vrend_decode.c in virglrenderer before 926b9b3460a48f6454d8bbe9e44313d86a65447f, as used in Quick Emulator (QEMU), allows a local guest users to cause a denial of service (application crash) via the "nr_cbufs" argument. | |||||
| CVE-2021-22672 | 1 Deltaww | 1 Cncsoft Screeneditor | 2021-05-18 | 6.8 MEDIUM | 7.8 HIGH |
| Delta Electronics' CNCSoft ScreenEditor in versions prior to v1.01.30 could allow the corruption of data, a denial-of-service condition, or code execution. The vulnerability may allow an attacker to remotely execute arbitrary code. | |||||
| CVE-2021-29603 | 1 Google | 1 Tensorflow | 2021-05-18 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. A specially crafted TFLite model could trigger an OOB write on heap in the TFLite implementation of `ArgMin`/`ArgMax`(https://github.com/tensorflow/tensorflow/blob/102b211d892f3abc14f845a72047809b39cc65ab/tensorflow/lite/kernels/arg_min_max.cc#L52-L59). If `axis_value` is not a value between 0 and `NumDimensions(input)`, then the condition in the `if` is never true, so code writes past the last valid element of `output_dims->data`. 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-2019-8844 | 2 Apple, Redhat | 10 Icloud, Ipados, Iphone Os and 7 more | 2021-05-18 | 9.3 HIGH | 8.8 HIGH |
| Multiple memory corruption issues were addressed with improved memory handling. This issue is fixed in tvOS 13.3, watchOS 6.1.1, iCloud for Windows 10.9, iOS 13.3 and iPadOS 13.3, Safari 13.0.4, iTunes 12.10.3 for Windows, iCloud for Windows 7.16. Processing maliciously crafted web content may lead to arbitrary code execution. | |||||
| CVE-2019-8835 | 2 Apple, Redhat | 9 Icloud, Ipados, Iphone Os and 6 more | 2021-05-18 | 9.3 HIGH | 8.8 HIGH |
| Multiple memory corruption issues were addressed with improved memory handling. This issue is fixed in tvOS 13.3, iCloud for Windows 10.9, iOS 13.3 and iPadOS 13.3, Safari 13.0.4, iTunes 12.10.3 for Windows, iCloud for Windows 7.16. Processing maliciously crafted web content may lead to arbitrary code execution. | |||||
| CVE-2019-8816 | 2 Apple, Redhat | 10 Icloud, Ipados, Iphone Os and 7 more | 2021-05-18 | 9.3 HIGH | 8.8 HIGH |
| Multiple memory corruption issues were addressed with improved memory handling. This issue is fixed in iOS 13.2 and iPadOS 13.2, tvOS 13.2, watchOS 6.1, Safari 13.0.3, iTunes for Windows 12.10.2, iCloud for Windows 11.0, iCloud for Windows 7.15. Processing maliciously crafted web content may lead to arbitrary code execution. | |||||
| CVE-2019-8815 | 2 Apple, Redhat | 9 Icloud, Ipados, Iphone Os and 6 more | 2021-05-18 | 9.3 HIGH | 8.8 HIGH |
| Multiple memory corruption issues were addressed with improved memory handling. This issue is fixed in iOS 13.2 and iPadOS 13.2, tvOS 13.2, Safari 13.0.3, iTunes for Windows 12.10.2, iCloud for Windows 11.0, iCloud for Windows 7.15. Processing maliciously crafted web content may lead to arbitrary code execution. | |||||
| CVE-2019-8814 | 2 Apple, Redhat | 9 Icloud, Ipados, Iphone Os and 6 more | 2021-05-18 | 9.3 HIGH | 8.8 HIGH |
| Multiple memory corruption issues were addressed with improved memory handling. This issue is fixed in iOS 13.2 and iPadOS 13.2, tvOS 13.2, Safari 13.0.3, iTunes for Windows 12.10.2, iCloud for Windows 11.0, iCloud for Windows 7.15. Processing maliciously crafted web content may lead to arbitrary code execution. | |||||
| CVE-2019-8689 | 2 Apple, Redhat | 10 Icloud, Iphone Os, Itunes and 7 more | 2021-05-18 | 9.3 HIGH | 8.8 HIGH |
| Multiple memory corruption issues were addressed with improved memory handling. This issue is fixed in iOS 12.4, macOS Mojave 10.14.6, tvOS 12.4, watchOS 5.3, Safari 12.1.2, iTunes for Windows 12.9.6, iCloud for Windows 7.13, iCloud for Windows 10.6. Processing maliciously crafted web content may lead to arbitrary code execution. | |||||
| CVE-2019-8688 | 2 Apple, Redhat | 10 Icloud, Iphone Os, Itunes and 7 more | 2021-05-18 | 9.3 HIGH | 8.8 HIGH |
| Multiple memory corruption issues were addressed with improved memory handling. This issue is fixed in iOS 12.4, macOS Mojave 10.14.6, tvOS 12.4, watchOS 5.3, Safari 12.1.2, iTunes for Windows 12.9.6, iCloud for Windows 7.13, iCloud for Windows 10.6. Processing maliciously crafted web content may lead to arbitrary code execution. | |||||
| CVE-2019-8684 | 2 Apple, Redhat | 10 Icloud, Iphone Os, Itunes and 7 more | 2021-05-18 | 9.3 HIGH | 8.8 HIGH |
| Multiple memory corruption issues were addressed with improved memory handling. This issue is fixed in iOS 12.4, macOS Mojave 10.14.6, tvOS 12.4, watchOS 5.3, Safari 12.1.2, iTunes for Windows 12.9.6, iCloud for Windows 7.13, iCloud for Windows 10.6. Processing maliciously crafted web content may lead to arbitrary code execution. | |||||
| CVE-2019-8669 | 2 Apple, Redhat | 10 Icloud, Iphone Os, Itunes and 7 more | 2021-05-18 | 9.3 HIGH | 8.8 HIGH |
| Multiple memory corruption issues were addressed with improved memory handling. This issue is fixed in iOS 12.4, macOS Mojave 10.14.6, tvOS 12.4, watchOS 5.3, Safari 12.1.2, iTunes for Windows 12.9.6, iCloud for Windows 7.13, iCloud for Windows 10.6. Processing maliciously crafted web content may lead to arbitrary code execution. | |||||
| CVE-2019-8676 | 2 Apple, Redhat | 10 Icloud, Iphone Os, Itunes and 7 more | 2021-05-18 | 9.3 HIGH | 8.8 HIGH |
| Multiple memory corruption issues were addressed with improved memory handling. This issue is fixed in iOS 12.4, macOS Mojave 10.14.6, tvOS 12.4, watchOS 5.3, Safari 12.1.2, iTunes for Windows 12.9.6, iCloud for Windows 7.13, iCloud for Windows 10.6. Processing maliciously crafted web content may lead to arbitrary code execution. | |||||
| CVE-2019-8672 | 2 Apple, Redhat | 10 Icloud, Iphone Os, Itunes and 7 more | 2021-05-18 | 9.3 HIGH | 8.8 HIGH |
| Multiple memory corruption issues were addressed with improved memory handling. This issue is fixed in iOS 12.4, macOS Mojave 10.14.6, tvOS 12.4, watchOS 5.3, Safari 12.1.2, iTunes for Windows 12.9.6, iCloud for Windows 7.13, iCloud for Windows 10.6. Processing maliciously crafted web content may lead to arbitrary code execution. | |||||