Inappropriate implementation in WebAudio in Google Chrome prior to 146.0.7680.165 allowed a remote attacker to perform an out of bounds memory read via a crafted HTML page. (Chromium security severity: High)
An out of bounds read on the enc_untrusted_inet_ntop function allows an attack to extend the result size that is used by memcpy() to read memory from within the enclave heap. We recommend upgrading past commit 6ff3b77ffe110a33a2f93848a6333f33616f02c4
In wlan driver, there is a possible missing params check. This could lead to local denial of service in wlan services.
In MP3 encoder, there is a possible out of bounds read due to a missing bounds check. This could lead to local denial of service with System execution privileges needed.
In camera driver, there is a possible out of bounds read due to a missing bounds check. This could lead to local denial of service with System execution privileges needed
In wlan driver, there is a possible missing params check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing params check. This could lead to local denial of service in wlan services.
In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, improper input validation for event->vdev_id in wma_rcpi_event_handler(), which is received from firmware, leads to potential out of bounds memory read.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In vdec, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS09028313; Issue ID: MSV-1699.
In Android releases from CAF using the linux kernel (Android for MSM, Firefox OS for MSM, QRD Android) before security patch level 2018-06-05, while processing a StrHwPlatform with length smaller than EFICHIPINFO_MAX_ID_LENGTH, an array out of bounds access may occur.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In MiscService::DoOemSetRtpPktlossThreshold of miscservice.cpp, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-241763503References: N/A
In Pixel firmware, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-242332610References: N/A
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In Pixel firmware, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-242331893References: N/A
In kernel/compat.c in the Linux kernel before 3.17, as used in Google Chrome OS and other products, there is a possible out-of-bounds read. restart_syscall uses uninitialized data when restarting compat_sys_nanosleep. NOTE: this is disputed because the code path is unreachable
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In ProtocolImsBuilder::BuildSetConfig of protocolimsbuilder.cpp, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-241763298References: N/A
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In MiscService::DoOemSetTcsFci of miscservice.cpp, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-241763682References: N/A
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In ProtocolPsUnthrottleApn() of protocolpsadapter.cpp, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with baseband firmware compromise required. User interaction is not needed for exploitation.
In fdt_path_offset_namelen of fdt_ro.c, there is a possible out of bounds read due to an incorrect bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-249998113References: N/A
TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/ef0c008ee84bad91ec6725ddc42091e19a30cf0e/tensorflow/core/kernels/maxpooling_op.cc#L1016-L1017) uses the same value to index in two different arrays but there is no guarantee that the sizes are identical. 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.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In vdec, there is a possible out of bounds read due to improper structure design. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS09008925; Issue ID: MSV-1681.
Iteration through non-finite points in Skia in Google Chrome prior to 62.0.3202.62 allowed a remote attacker to perform an out of bounds memory read via a crafted HTML page.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In StringsRequestData::encode of requestdata.cpp, there is a possible out of bounds read due to improper input validation. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-241762656References: N/A
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
Insufficient data validation in V8 builtins string generator could lead to out of bounds read and write access in V8 in Google Chrome prior to 62.0.3202.94 and allowed a remote attacker to execute arbitrary code inside a sandbox via a crafted HTML page.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.
TensorFlow is an open source platform for machine learning. If `FractionMaxPoolGrad` is given outsize inputs `row_pooling_sequence` and `col_pooling_sequence`, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Out of bounds read in Fonts in Google Chrome prior to 148.0.7778.96 allowed a remote attacker to perform an out of bounds memory read via a crafted HTML page. (Chromium security severity: High)
TensorFlow is an open source platform for machine learning. When the `BaseCandidateSamplerOp` function receives a value in `true_classes` larger than `range_max`, a heap oob read occurs. We have patched the issue in GitHub commit b389f5c944cadfdfe599b3f1e4026e036f30d2d4. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.
TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.
TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
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.
Out of bounds memory access in WebML in Google Chrome prior to 146.0.7680.71 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)
Inappropriate implementation in Dawn in Google Chrome on Mac prior to 130.0.6723.92 allowed a remote attacker to perform out of bounds memory access via a crafted HTML page. (Chromium security severity: High)
Out of bounds read in GPU in Google Chrome on Android prior to 147.0.7727.117 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: High)