In pktproc_perftest_gen_rx_packet_sktbuf_mode of link_rx_pktproc.c, there is a possible out of bounds write due to a race condition. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.
In multiple functions of AppOpsService.java, there is a possible way to saturate the content of /data/system/appops_accesses.xml due to resource exhaustion. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.
Nullptr dereference when a null char is present in a proto symbol. The symbol is parsed incorrectly, leading to an unchecked call into the proto file's name during generation of the resulting error message. Since the symbol is incorrectly parsed, the file is nullptr. We recommend upgrading to version 3.15.0 or greater.
In SystemSettingsValidators, there is a possible permanent denial of service due to missing bounds checks on UI settings. This could lead to local denial of service with User execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11Android ID: A-156260178
In FindQuotaDeviceForUuid of QuotaUtils.cpp, there is a possible use-after-free due to a race condition. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11Android ID: A-169421939
In memory management driver, there is a possible system crash due to a missing bounds check. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05403499; Issue ID: ALPS05381065.
In memory management driver, there is a possible system crash due to a missing bounds check. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05403499; Issue ID: ALPS05381071.
In memory management driver, there is a possible system crash due to improper input validation. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05403499; Issue ID: ALPS05336702.
In vpu, there is a possible memory corruption due to a race condition. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Product: Android; Versions: Android-10, Android-11; Patch ID: ALPS05371580; Issue ID: ALPS05379085.
In vpu, there is a possible memory corruption due to a race condition. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Product: Android; Versions: Android-10, Android-11; Patch ID: ALPS05371580; Issue ID: ALPS05379093.
In memory management driver, there is a possible system crash due to a missing bounds check. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05403499; Issue ID: ALPS05393787.
In vow, there is a possible memory corruption due to a race condition. This could lead to local escalation of privilege with System execution privileges needed. User interaction is needed for exploitation. Product: Android; Versions: Android-10, Android-11; Patch ID: ALPS05418265.
In telecom service, there is a possible missing permission check. This could lead to local denial of service with no additional execution privileges needed
In faceid service, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with no additional execution privileges
In validate of WifiConfigurationUtil.java , there is a possible persistent denial of service due to resource exhaustion. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.
In sysui, there is a possible missing permission check. This could lead to local denial of service with no additional execution privileges needed
In flv extractor, there is a possible missing verification incorrect input. This could lead to local denial of service with no additional execution privileges needed
In SoundRecorder service, there is a possible missing permission check. This could lead to local information disclosure with no additional execution privileges
In the Easel driver, there is possible memory corruption due to race conditions. 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-112312381
In the Easel driver, there is possible memory corruption due to race conditions. 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-112309571
An issue was discovered on LG mobile devices with Android OS 7.0, 7.1, 7.2, 8.0, 8.1, and 9.0 software. A TrustZone trusted application can crash via crafted input. The LG ID is LVE-SMP-190003 (May 2019).
In multiple functions of SnoozeHelper.java, there is a possible persistent denial of service due to resource exhaustion. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.
In multiple functions of SnoozeHelper.java, there is a possible way to cause a boot loop due to resource exhaustion. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.
An issue was discovered on LG mobile devices with Android OS 7.0, 7.1, 7.2, 8.0, and 8.1 software. A TZ trusted application can crash via crafted input. The LG ID is LVE-SMP-190005 (July 2019).
In ril service, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with System execution privileges needed
In ril service, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with System execution privileges needed
In Network Adapter Service, there is a possible missing permission check. This could lead to local denial of service with no additional execution privileges needed
In forceReplaceShortcutInner of ShortcutPackage.java, there is a possible way to register unlimited packages due to a missing bounds check. This could lead to local denial of service which results in a boot loop with no additional execution privileges needed. User interaction is not needed for exploitation.
In vowifiservice, there is a possible missing permission check.This could lead to local denial of service with no additional execution privileges
In vowifiservice, there is a possible missing permission check.This could lead to local denial of service with no additional execution privileges
In vowifiservice, there is a possible missing permission check.This could lead to local denial of service with no additional execution privileges
In wcn bsp driver, there is a possible out of bounds write due to a missing bounds check.This could lead to local denial of service with no additional execution privileges
In vowifiservice, there is a possible missing permission check.This could lead to local denial of service with no additional execution privileges
In vowifiservice, there is a possible missing permission check.This could lead to local denial of service with no additional execution privileges
In vowifiservice, there is a possible missing permission check.This could lead to local denial of service with no additional execution privileges
In video decoder, there is a possible out of bounds write due to improper input validation. This could lead to local denial of service with no additional execution privileges needed
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don't yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
In video decoder, there is a possible out of bounds write due to improper input validation. This could lead to local denial of service with no additional execution privileges needed
there is a possible use after free due to a race condition. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.
In video decoder, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with no additional execution privileges needed
In video decoder, there is a possible improper input validation. This could lead to local denial of service with no additional execution privileges needed
In video decoder, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with no additional execution privileges needed
In video decoder, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with no additional execution privileges needed
In phasecheckserver, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with no additional execution privileges needed
fscrypt through v0.3.2 creates a world-writable directory by default when setting up a filesystem, allowing unprivileged users to exhaust filesystem space. We recommend upgrading to fscrypt 0.3.3 or above and adjusting the permissions on existing fscrypt metadata directories where applicable.
In writeUserLP of UserManagerService.java, device policies are serialized with an incorrect tag due to a logic error in the code. This could lead to local denial of service when policies are deserialized on reboot with no additional execution privileges needed. User interaction is not needed for exploitation.
In onCreate of EmergencyCallbackModeExitDialog.java, there is a possible way to crash the emergency callback mode due to a missing null check. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in `tf.raw_ops.MaxPoolGrad` caused by missing validation. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/maxpooling_op.cc) misses some validation for the `orig_input` and `orig_output` tensors. The fixes for CVE-2021-29579 were incomplete. We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a null pointer dereference, which would result in a crash and denial of service. This is caused by the MLIR optimization of `L2NormalizeReduceAxis` operator. The [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/compiler/mlir/lite/transforms/optimize.cc#L67-L70) unconditionally dereferences a pointer to an iterator to a vector without checking that the vector has elements. We have patched the issue in GitHub commit d6b57f461b39fd1aa8c1b870f1b974aac3554955. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a division by zero error in LSH [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/lsh_projection.cc#L118). We have patched the issue in GitHub commit 0575b640091680cfb70f4dd93e70658de43b94f9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick thiscommit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.