Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
The Instance::HandleInputEvent function in pdf/instance.cc in the PDFium component in Google Chrome before 38.0.2125.101 interprets a certain -1 value as an index instead of a no-visible-page error code, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.
Tensorflow is an Open Source Machine Learning Framework. The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a `SavedModel` such that `IsSimplifiableReshape` would trigger `CHECK` failures. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Tensorflow is an Open Source Machine Learning Framework. The `GraphDef` format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a `GraphDef` containing a fragment such as the following can be consumed when loading a `SavedModel`. This would result in a stack overflow during execution as resolving each `NodeDef` means resolving the function itself and its nodes. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.
Tensorflow is an Open Source Machine Learning Framework. The implementation of `StringNGrams` can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on `pad_witdh` and that result in computing a negative value for `ngram_width` which is later used to allocate parts of the output. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Tensorflow is an Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is strictly positive. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
An issue was discovered on LG mobile devices with Android OS 9.0 and 10 software. The Wi-Fi subsystem has incorrect input validation, leading to a crash. The LG ID is LVE-SMP-200022 (October 2020).
An issue was discovered on LG mobile devices with Android OS 7.2, 8.0, 8.1, 9, and 10 software. An application crash can occur because of incorrect application-level input validation. The LG ID is LVE-SMP-200018 (July 2020).
Google Chrome before 17.0.963.46 does not properly handle PDF FAX images, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.
Google Chrome before 5.0.375.99 does not properly implement modal dialogs, which allows attackers to cause a denial of service (application crash) via unspecified vectors.
Google Chrome 2.x through 2.0.172 allows remote attackers to cause a denial of service (application crash) via a long Unicode string argument to the write method, a related issue to CVE-2009-2479.
Google Chrome 0.2.149.29 and earlier allows remote attackers to cause a denial of service (unusable browser) by calling the window.print function in a loop, aka a "printing DoS attack," possibly a related issue to CVE-2009-0821.
A lack of replay attack protection in GUTI REALLOCATION COMMAND message process in Qualcomm modem prior to SMR Oct-2021 Release 1 can lead to remote denial of service on mobile network connection.
parser.c in libxml2 before 2.9.0, as used in Google Chrome before 28.0.1500.71 and other products, allows remote attackers to cause a denial of service (out-of-bounds read) via a document that ends abruptly, related to the lack of certain checks for the XML_PARSER_EOF state.
Google V8, as used in Google Chrome before 27.0.1453.93, allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.
In btif_in_hf_client_generic_evt of btif_hf_client.cc, there is a possible Bluetooth service crash due to a missing null check. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12Android ID: A-180420059
Google Chrome before 17.0.963.46 allows remote attackers to cause a denial of service (application crash) via vectors that trigger a large amount of database usage.