In ProtocolCdmaCallWaitingIndAdapter::GetCwInfo() of protocolsmsadapter.cpp, there is a possible out of bounds read due to a missing bounds check. This could lead to remote information disclosure with baseband firmware compromise required. User interaction is not needed for exploitation.

IBM Cognos Mobile Client 1.1 iOS may be vulnerable to information disclosure through man in the middle techniques due to the lack of certificate pinning.

Microsoft Edge for Android Information Disclosure Vulnerability

A Buffer Overflow vulnerability in the khcrypt implementation in Google Earth Pro versions up to and including 7.3.2 allows an attacker to perform a Man-in-the-Middle attack using a specially crafted key to read data past the end of the buffer used to hold it. Mitigation: Update to Google Earth Pro 7.3.3.

Inappropriate implementation in DevTools in Google Chrome prior to 149.0.7827.53 allowed an attacker who convinced a user to install a malicious extension to obtain potentially sensitive information from process memory via a crafted Chrome Extension. (Chromium security severity: Low)

SHA-1 is not collision resistant, which makes it easier for context-dependent attackers to conduct spoofing attacks, as demonstrated by attacks on the use of SHA-1 in TLS 1.2. NOTE: this CVE exists to provide a common identifier for referencing this SHA-1 issue; the existence of an identifier is not, by itself, a technology recommendation.

Policy bypass in Extensions in Google Chrome prior to 142.0.7444.59 allowed an attacker who convinced a user to install a malicious extension to obtain potentially sensitive information from process memory via a crafted Chrome Extension. (Chromium security severity: Medium)

The Print Service is susceptible to man in the middle attacks due to improperly used crypto. This could lead to remote information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Product: AndroidVersions: Android-10Android ID: A-115635664

In wpa_supplicant, there is a possible man in the middle vulnerability due to improper input validation of the basicConstraints field of intermediary certificates. This could lead to remote information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Product: AndroidVersions: Android-10Android ID: A-111893041

The Planet Fitness Workouts iOS and Android mobile apps fail to properly validate TLS certificates, allowing an attacker with appropriate network access to obtain session tokens and sensitive information. Planet Fitness first addressed this vulnerability in version 9.8.12 (released on 2024-07-25) and more recently in version 9.9.13 (released on 2025-02-11).

The libcurl CURLOPT_SSL_VERIFYPEER option was disabled on a subset of requests made by Nest production devices which enabled a potential man-in-the-middle attack on requests to Google cloud services by any host the traffic was routed through.

Inappropriate implementation in Views in Google Chrome on ChromeOS prior to 150.0.7871.47 allowed an attacker who convinced a user to install a malicious extension to obtain potentially sensitive information from process memory via a crafted Chrome Extension. (Chromium security severity: Low)

Inappropriate implementation in WebRTC in Google Chrome prior to 149.0.7827.53 allowed an attacker in a privileged network position to leak cross-origin data via malicious network traffic. (Chromium security severity: Medium)

The AES-NI implementation in OpenSSL before 1.0.1t and 1.0.2 before 1.0.2h does not consider memory allocation during a certain padding check, which allows remote attackers to obtain sensitive cleartext information via a padding-oracle attack against an AES CBC session. NOTE: this vulnerability exists because of an incorrect fix for CVE-2013-0169.

Null pointer dereference vulnerability in parser_hvcC function of libsimba library prior to SMR Apr-2022 Release 1 allows out of bounds write by remote attackers.

Null pointer dereference vulnerability in parser_irot function in libsimba library prior to SMR Apr-2022 Release 1 allows out of bounds write by remote attacker.

Null pointer dereference vulnerability in parser_infe function of libsimba library prior to SMR Apr-2022 Release 1 allows out of bounds read by remote attackers.

Null pointer dereference vulnerability in parser_auxC function in libsimba library prior to SMR Apr-2022 Release 1 allows out of bounds write by remote attacker.

Null pointer dereference vulnerability in parser_colr function in libsimba library prior to SMR Apr-2022 Release 1 allows out of bounds write by remote attacker.

Null pointer dereference vulnerability in parser_ispe function in libsimba library prior to SMR Apr-2022 Release 1 allows out of bounds write by remote attacker.

Null pointer dereference vulnerability in parser_unknown_property function in libsimba library prior to SMR Apr-2022 Release 1 allows out of bounds write by remote attacker.

In A-GPS, there is a possible man in the middle attack due to improper certificate validation. This could lead to remote information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS06461919; Issue ID: ALPS06461919.

Out of bounds read in WebGL in Google Chrome on Android prior to 148.0.7778.216 allowed a remote attacker to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: Critical)

Google Chrome before 16.0.912.63 does not properly parse SVG documents, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

The Array.prototype.concat implementation in builtins.cc in Google V8, as used in Google Chrome before 49.0.2623.108, does not properly consider element data types, which allows remote attackers to cause a denial of service (out-of-bounds read) or possibly have unspecified other impact via crafted JavaScript code.

Google Chrome before 14.0.835.163 does not properly handle video, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's [`GatherNd` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather_nd.cc#L124) does not support negative indices but there are no checks for this situation. Hence, an attacker can read arbitrary data from the heap by carefully crafting a model with negative values in `indices`. Similar issue exists in [`Gather` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather.cc). We have patched the issue in GitHub commits bb6a0383ed553c286f87ca88c207f6774d5c4a8f and eb921122119a6b6e470ee98b89e65d721663179d. 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.

Out of bounds read in WebAudio in Google Chrome prior to 95.0.4638.54 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Google Chrome before 14.0.835.163 does not properly process MP3 files, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Google Chrome before 14.0.835.163 does not properly handle Tibetan characters, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Insufficient input validation in WebGL in Google Chrome prior to 72.0.3626.81 allowed a remote attacker to perform an out of bounds memory read via a crafted HTML page.

Inappropriate implementation in ANGLE in Google Chrome prior to 148.0.7778.216 allowed a remote attacker to potentially perform out of bounds memory access via a crafted HTML page. (Chromium security severity: High)

An exploitable information disclosure vulnerability exists in the Weave Legacy Pairing functionality of Nest Cam IQ Indoor version 4620002. A set of specially crafted weave packets can cause an out of bounds read, resulting in information disclosure. An attacker can send packets to trigger this vulnerability.

Insufficient data validation on image data in PDFium in Google Chrome prior to 51.0.2704.63 allowed a remote attacker to perform an out of bounds memory read via a crafted PDF file.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for `tf.raw_ops.FractionalAvgPoolGrad` can be tricked into accessing data outside of bounds of heap allocated buffers. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/fractional_avg_pool_op.cc#L205) does not validate that the input tensor is non-empty. Thus, code constructs an empty `EigenDoubleMatrixMap` and then accesses this buffer with indices that are outside of the empty area. We have patched the issue in GitHub commit 0f931751fb20f565c4e94aa6df58d54a003cdb30. 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 the implementation of sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data. The [implementation](https://github.com/tensorflow/tensorflow/blob/a1bc56203f21a5a4995311825ffaba7a670d7747/tensorflow/core/kernels/sparse_reduce_op.cc#L217-L228) fails to validate that each reduction group does not overflow and that each corresponding index does not point to outside the bounds of the input tensor. We have patched the issue in GitHub commit 87158f43f05f2720a374f3e6d22a7aaa3a33f750. 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.

An exploitable denial-of-service vulnerability exists in the Weave certificate loading functionality of Nest Cam IQ Indoor camera, version 4620002. A specially crafted weave packet can cause an integer overflow and an out-of-bounds read on unmapped memory to occur, resulting in a denial of service. An attacker can send a specially crafted packet to trigger.

Out of bounds read in libjpeg-turbo in Google Chrome prior to 94.0.4606.54 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Out of bounds read and write in ANGLE in Google Chrome prior to 148.0.7778.216 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)

In all Qualcomm products with Android releases from CAF using the Linux kernel, a vulnerability exists where an array out of bounds access can occur during a CA call.

Determined not a vulnerability

Out of bounds memory access in V8 in Google Chrome prior to 120.0.6099.224 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

In smp_proc_sec_req of smp_act.cc, there is a possible out of bounds read due to improper input validation. This could lead to remote (proximal/adjacent) information disclosure 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. When restoring tensors via raw APIs, if the tensor name is not provided, TensorFlow can be tricked into dereferencing a null pointer. Alternatively, attackers can read memory outside the bounds of heap allocated data by providing some tensor names but not enough for a successful restoration. The [implementation](https://github.com/tensorflow/tensorflow/blob/47a06f40411a69c99f381495f490536972152ac0/tensorflow/core/kernels/save_restore_tensor.cc#L158-L159) retrieves the tensor list corresponding to the `tensor_name` user controlled input and immediately retrieves the tensor at the restoration index (controlled via `preferred_shard` argument). This occurs without validating that the provided list has enough values. If the list is empty this results in dereferencing a null pointer (undefined behavior). If, however, the list has some elements, if the restoration index is outside the bounds this results in heap OOB read. We have patched the issue in GitHub commit 9e82dce6e6bd1f36a57e08fa85af213e2b2f2622. 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.

Out of bounds read in GPU in Google Chrome prior to 148.0.7778.216 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)

In multiple locations, there is a possible out of bounds read due to a missing bounds check. This could lead to paired device information disclosure 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 cause undefined behavior via binding a reference to null pointer in all binary cwise operations that don't require broadcasting (e.g., gradients of binary cwise operations). The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/cwise_ops_common.h#L264) assumes that the two inputs have exactly the same number of elements but does not check that. Hence, when the eigen functor executes it triggers heap OOB reads and undefined behavior due to binding to nullptr. We have patched the issue in GitHub commit 93f428fd1768df147171ed674fee1fc5ab8309ec. 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.

Out of bounds read and write in Dawn in Google Chrome on Android prior to 148.0.7778.216 allowed a remote attacker to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: Critical)

Out of bounds read in WebRTC in Google Chrome on Mac prior to 148.0.7778.216 allowed a remote attacker to obtain potentially sensitive information from process memory via a crafted HTML page. (Chromium security severity: High)

TensorFlow is an end-to-end open source platform for machine learning. In affected versions it is possible to nest a `tf.map_fn` within another `tf.map_fn` call. However, if the input tensor is a `RaggedTensor` and there is no function signature provided, code assumes the output is a fully specified tensor and fills output buffer with uninitialized contents from the heap. The `t` and `z` outputs should be identical, however this is not the case. The last row of `t` contains data from the heap which can be used to leak other memory information. The bug lies in the conversion from a `Variant` tensor to a `RaggedTensor`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/ragged_tensor_from_variant_op.cc#L177-L190) does not check that all inner shapes match and this results in the additional dimensions. The same implementation can result in data loss, if input tensor is tweaked. We have patched the issue in GitHub commit 4e2565483d0ffcadc719bd44893fb7f609bb5f12. 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.