In gnss service, there is a possible out of bounds read due to improper input validation. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS08044040; Issue ID: ALPS08044032.

In display, there is a possible out of bounds read due to an incorrect bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07388762; Issue ID: ALPS07388762.

Data leak in Canvas in Google Chrome prior to 99.0.4844.51 allowed a remote attacker who convinced a user to engage in screen sharing to potentially leak cross-origin data via a crafted HTML page.

In battery, there is a possible information disclosure 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: ALPS08308070; Issue ID: ALPS08307992.

In bluethooth service, there is a possible out of bounds reads due to improper input validation. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07884130; Issue ID: ALPS07884130.

Google Chrome before 13.0.782.107 does not properly handle Skia paths, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

In display drm, there is a possible out of bounds read due to a missing bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07363740; Issue ID: ALPS07363740.

TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for `SparseCountSparseOutput` can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Out of bounds read in ANGLE in Google Chrome prior to 99.0.4844.51 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

In gnss service, there is a possible out of bounds read due to improper input validation. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS08037801; Issue ID: ALPS08037801.

In display, there is a possible out of bounds read due to an incorrect status check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07993705; Issue ID: ALPS07993705.

Google Chrome before 17.0.963.56 does not properly parse H.264 data, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Google Chrome before 11.0.696.57 does not properly handle SVG documents, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

In ippSetValueTag of ipp.c, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure of past print jobs or other print-related information, with no additional execution privileges needed. User interaction is not needed for exploitation.

TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseBinCount` is vulnerable to a heap OOB access. This is because of missing validation between the elements of the `values` argument and the shape of the sparse output. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseFillEmptyRows` can be made to trigger a heap OOB access. This occurs whenever the size of `indices` does not match the size of `values`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

NVIDIA driver contains a possible out-of-bounds read vulnerability due to a leak which may lead to information disclosure. This issue is rated as moderate. Android: A-63851980.

TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for the `QuantizeAndDequantizeV*` operations can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

In gatt_process_read_by_type_rsp of gatt_cl.cc, there is a possible out of bounds read due to a missing bounds check. This could lead to remote information disclosure in the Bluetooth server with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-8.1 Android-9 Android-10 Android-11 Android-8.0Android ID: A-158778659

In phNxpNciHal_send_ext_cmd of phNxpNciHal_ext.cc, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege in the NFC server with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11Android ID: A-153731369

TensorFlow is an open source platform for machine learning. In affected versions the implementation of `FusedBatchNorm` kernels is vulnerable to a heap OOB access. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

In phNxpNciHal_core_initialized of phNxpNciHal.cc, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure in the NFC server with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11Android ID: A-153731335

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `QuantizeV2` can trigger a read outside of bounds of heap allocated array. This occurs whenever `axis` is a negative value less than `-1`. In this case, we are accessing data before the start of a heap buffer. The code allows `axis` to be an optional argument (`s` would contain an `error::NOT_FOUND` error code). Otherwise, it assumes that `axis` is a valid index into the dimensions of the `input` tensor. If `axis` is less than `-1` then this results in a heap OOB read. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.

In nfc_ncif_proc_get_routing of nfc_ncif.cc, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11Android ID: A-122358602

In phNxpNciHal_core_initialized of phNxpNciHal.cc, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure in the NFC server with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11Android ID: A-153731880

In nfc_enabled of nfc_main.cc, there is a possible out of bounds read due to an incorrect increment. This could lead to local information disclosure via firmware with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11Android ID: A-155234594

In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node (given by output_index) and the input slot of the dst node (given by input_index). This is only possible if the types of the tensors on both sides coincide, so the function begins by obtaining the corresponding DataType values and comparing these for equality. However, there is no check that the indices point to inside of the arrays they index into. Thus, this can result in accessing data out of bounds of the corresponding heap allocated arrays. In most scenarios, this can manifest as unitialized data access, but if the index points far away from the boundaries of the arrays this can be used to leak addresses from the library. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.

NVIDIA libnvrm contains a possible out of bounds read due to a missing bounds check which could lead to local information disclosure. This issue is rated as moderate. Product: Android. Version: N/A. Android: A-64893156. Reference: N-CVE-2017-6285.

In sms_ExtractCbLanguage of sms_CellBroadcast.c, there is a possible out of bounds read due to a missing bounds check. This could lead to remote information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

In ProtocolEmbmsSaiListAdapter::Init() of protocolembmsadapter.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.

Out of bounds read in V8 in Google Chrome prior to 133.0.6943.141 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: Medium)

NVIDIA TrustZone Software contains a vulnerability in the Keymaster implementation where the software reads data past the end, or before the beginning, of the intended buffer; and may lead to denial of service or information disclosure. This issue is rated as high.

NVIDIA libnvrm contains a possible out of bounds read due to a missing bounds check which could lead to local information disclosure. This issue is rated as moderate. Product: Android. Version: N/A. Android: A-65482562. Reference: N-CVE-2017-6288.

In TensorFlow release candidate versions 2.4.0rc*, the general implementation for matching filesystem paths to globbing pattern is vulnerable to an access out of bounds of the array holding the directories. There are multiple invariants and preconditions that are assumed by the parallel implementation of GetMatchingPaths but are not verified by the PRs introducing it (#40861 and #44310). Thus, we are completely rewriting the implementation to fully specify and validate these. This is patched in version 2.4.0. This issue only impacts master branch and the release candidates for TF version 2.4. The final release of the 2.4 release will be patched.

Heap buffer overflow in ANGLE in Google Chrome prior to 125.0.6422.76 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. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. In affected versions the `ImmutableConst` operation in TensorFlow can be tricked into reading arbitrary memory contents. This is because the `tstring` TensorFlow string class has a special case for memory mapped strings but the operation itself does not offer any support for this datatype. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Object lifecycle issue in ANGLE in Google Chrome prior to 96.0.4664.110 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

In onActivityResult of EditUserPhotoController.java, there is a possible cross-user media read due to a confused deputy. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

there is a possible out of bounds read due to a missing bounds check. This could lead to remote denial of service with System execution privileges needed. User interaction is not needed for exploitation.

In TBD of TBD, 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-206472503References: N/A

Insufficient validation of untrusted input in V8 in Google Chrome prior to 59.0.3071.104 for Mac, Windows, and Linux, and 59.0.3071.117 for Android, allowed a remote attacker to perform out of bounds memory access via a crafted HTML page.

Out of bounds read in V8 API in Google Chrome prior to 124.0.6367.78 allowed a remote attacker to leak cross-site data via a crafted HTML page. (Chromium security severity: High)

In l2cble_process_sig_cmd of l2c_ble.cc, there is a possible out of bounds read due to a missing bounds check. This could lead to remote information disclosure through Bluetooth with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12 Android-12LAndroid ID: A-212694559

In CreateDeviceInfo of trusty_remote_provisioning_context.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-193579873References: N/A

In cd_ParseMsg of cd_codec.c, there is a possible out of bounds read due to an incorrect bounds check. This could lead to remote information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-181782896References: N/A

In ufshcd_eh_device_reset_handler of ufshcd.c, 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-194696049References: Upstream kernel

In startVideoStream() there is a possibility of an OOB Read in the heap, when the camera buffer is ‘zero’ in size.Product: AndroidVersions: Android-11Android ID: A-205097028

Out of bounds read in Fonts in Google Chrome prior to 124.0.6367.60 allowed a remote attacker to obtain potentially sensitive information from process memory via a crafted HTML page. (Chromium security severity: Medium)

Incorrect handling of complex species in V8 in Google Chrome prior to 57.0.2987.98 for Linux, Windows, and Mac and 57.0.2987.108 for Android allowed a remote attacker to execute arbitrary code via a crafted HTML page.