In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, improper input validation for wmi_event->num_vdev_mac_entries in wma_pdev_set_hw_mode_resp_evt_handler(), which is received from firmware, leads to potential buffer overflow.

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, improper input validation while processing an encrypted authentication management frame in lim_send_auth_mgmt_frame() leads to buffer overflow.

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, improper input validation for nlo_event in wma_nlo_match_evt_handler(), which is received from firmware, leads to potential out of bound memory access.

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 Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, improper input validation for vdev_id in wma_unified_bcntx_status_event_handler() which is received from firmware leads to potential out of bounds memory read.

Android 3.0 through 4.1.x on Disney Mobile, eAccess, KDDI, NTT DOCOMO, SoftBank, and other devices does not properly implement the WebView class, which allows remote attackers to execute arbitrary methods of Java objects or cause a denial of service (reboot) via a crafted web page, as demonstrated by use of the WebView.addJavascriptInterface method, a related issue to CVE-2012-6636.

Use-after-free vulnerability in Google Chrome before 28.0.1500.71 allows remote attackers to cause a denial of service or possibly have unspecified other impact via vectors related to the handling of input.

Improper validation vulnerability in MediaMonitorDimension prior to SMR Apr-2022 Release 1 allows attackers to launch certain activities.

Improper input validation vulnerability in parser_infe and sheifd_find_itemIndexin fuctions of libsimba library prior to SMR Apr-2022 Release 1 allows out of bounds write by privileged attackers.

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, an invalid input of firmware size (negative value) from user space can potentially lead to the memory leak or buffer overflow during the WLAN cal data store operation.

Improper validation vulnerability in SemBlurInfo prior to SMR Apr-2022 Release 1 allows attackers to launch certain activities.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in `tf.raw_ops.QuantizeV2`, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/quantize_op.cc#L59) has some validation but does not check that `min_range` and `max_range` both have the same non-zero number of elements. If `axis` is provided (i.e., not `-1`), then validation should check that it is a value in range for the rank of `input` tensor and then the lengths of `min_range` and `max_range` inputs match the `axis` dimension of the `input` tensor. We have patched the issue in GitHub commit 6da6620efad397c85493b8f8667b821403516708. 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.

A remote code execution vulnerability in the Android media framework (libavc). Product: Android. Versions: 6.0. Android ID A-64964675.

Insufficient data validation in webUI in Google Chrome on ChromeOS prior to 86.0.4240.75 allowed a local attacker to bypass content security policy via a crafted HTML page.

Insufficient policy enforcement in Omnibox in Google Chrome prior to 63.0.3239.84 allowed a remote attacker to perform domain spoofing via IDN homographs in a crafted domain name.

Insufficient Policy Enforcement in Extensions in Google Chrome prior to 62.0.3202.62 allowed a remote attacker to perform domain spoofing in permission dialogs via IDN homographs in a crafted Chrome Extension.

The developer-account sample code in Google AdMob does not verify that the server hostname matches a domain name in the subject's Common Name (CN) or subjectAltName field of the X.509 certificate, which allows man-in-the-middle attackers to spoof SSL servers via an arbitrary valid certificate.

Improper validation vulnerability in VerifyCredentialResponse prior to SMR Apr-2022 Release 1 allows attackers to launch certain activities.

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

An issue was discovered on Samsung mobile devices with Q(10.0) software. Attackers can trigger an out-of-bounds access and device reset via a 4K wallpaper image because ImageProcessHelper mishandles boundary checks. The Samsung ID is SVE-2020-18056 (July 2020).

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `tf.raw_ops.Switch` operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor. However, the eager runtime traverses all tensors in the output. Since only one of the tensors is defined, the other one is `nullptr`, hence we are binding a reference to `nullptr`. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. In this case, this results in a segmentation fault The issue is patched in commit da8558533d925694483d2c136a9220d6d49d843c, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. Although `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, only `reverse_index_map_t` is validated to be of proper shape. Hence, malicious users can pass a bad `grad_values_t` to trigger an assertion failure in `vec`, causing denial of service in serving installations. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1."

Incorrect implementation in Blink in Google Chrome prior to 62.0.3202.62 allowed a remote attacker to spoof the contents of the Omnibox (URL bar) via a crafted HTML page.

Google Chrome before 23.0.1271.91 does not properly perform a cast of an unspecified variable during handling of the INPUT element, which allows remote attackers to cause a denial of service or possibly have unknown other impact via a crafted HTML document.

system_server in Android before 2016-10-05 on Nexus devices allows attackers to gain privileges via a crafted application, aka internal bug 30445380.

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, handles in the global client structure can become stale.

Google Chrome before 23.0.1271.64 on Mac OS X does not properly validate an integer value during the handling of GPU command buffers, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors.

In the function msm_pcm_hw_params() in Android for MSM, Firefox OS for MSM, and QRD Android before 2017-09-19, the return value of q6asm_open_shared_io() is not checked properly potentially leading to a possible dangling pointer access.

Google Talk before 1.0.0.76, with email notification enabled, allows remote attackers to cause a denial of service (connection reset) via email with a blank sender.

The extension system in Google Chrome before 22.0.1229.79 does not properly handle modal dialogs, which allows remote attackers to cause a denial of service (application crash) via unspecified vectors.

The texSubImage2D implementation in the WebGL subsystem in Google Chrome before 20.0.1132.43 does not properly handle uploads to floating-point textures, which allows remote attackers to cause a denial of service (assertion failure and application crash) or possibly have unspecified other impact via a crafted web page, as demonstrated by certain WebGL performance tests, aka rdar problem 11520387.

In prepare_response_locked of lwis_transaction.c, there is a possible out of bounds write due to improper input validation. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

Google Chrome before 20.0.1132.43 does not properly implement SVG filters, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Insufficient data validation in V8 in Google Chrome prior to 87.0.4280.88 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

The Xelex MobileTrack application 2.3.7 and earlier for Android does not verify the origin of SMS commands, which allows remote attackers to execute a (1) LOCATE, (2) TRACK, (3) UPDATECFG, (4) UPDATEACCT, (5) STAT, (6) TERM, or (7) WIPE command via an SMS message.

Unspecified vulnerability in Google Chrome before 4.1.249.1036 allows remote attackers to trigger the omission of a download warning dialog via unknown vectors.

FFmpeg, as used in Google Chrome before 22.0.1229.79, does not properly handle OGG containers, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors, related to a "wild pointer" issue.

Improper input validation in Settings prior to SMR-May-2022 Release 1 allows attackers to launch arbitrary activity with system privilege. The patch adds proper validation logic to check the caller.

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Insufficient data validation in media in Google Chrome prior to 85.0.4183.121 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes a list of strings to `dlpack.to_dlpack` there is a memory leak following an expected validation failure. The issue occurs because the `status` argument during validation failures is not properly checked. Since each of the above methods can return an error status, the `status` value must be checked before continuing. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.

Insufficient data validation in DevTools in Google Chrome prior to 121.0.6167.85 allowed a remote attacker who convinced a user to engage in specific UI gestures to execute arbitrary code via a crafted HTML page. (Chromium security severity: High)

Insufficient data validation in Updater in Google Chrome prior to 120.0.6099.62 allowed a remote attacker to perform OS-level privilege escalation via a malicious file. (Chromium security severity: High)

Insufficient data validation in navigation in Google Chrome on Android prior to 86.0.4240.75 allowed a remote attacker who had compromised the renderer process to bypass navigation restrictions via a crafted HTML page.

Insufficient data validation in WASM in Google Chrome prior to 87.0.4280.66 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Improper boundary check in UWB firmware prior to SMR Apr-2022 Release 1 allows arbitrary memory write.

In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes an invalid argument to `dlpack.to_dlpack` the expected validations will cause variables to bind to `nullptr` while setting a `status` variable to the error condition. However, this `status` argument is not properly checked. Hence, code following these methods will bind references to null pointers. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.

Insufficient validation of untrusted input in ANGLE and GPU in Google Chrome prior to 138.0.7204.157 allowed a remote attacker to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: High)

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, the SafeSwitch test application does not properly validate the number of blocks to verify.