Out-of-bounds read in Capability Access Management Service (camsvc) allows an authorized attacker to disclose information locally.
Out-of-bounds read in Capability Access Management Service (camsvc) allows an unauthorized attacker to disclose information locally.
Out-of-bounds read in Windows TPM allows an authorized attacker to disclose information locally.
Information disclosure while processing information on firmware image during core initialization.
Security Center Broker Information Disclosure Vulnerability
Windows Kernel Information Disclosure Vulnerability
An out-of-bounds read was addressed with improved input validation. This issue is fixed in macOS Big Sur 11.7.7, macOS Monterey 12.6.6, macOS Ventura 13.4. Processing a 3D model may result in disclosure of process memory.
NXP Kinetis K82 devices have a buffer over-read via a crafted wlength value in a GET Status-Other request during use of USB In-System Programming (ISP) mode. This discloses protected flash memory.
Cisco Secure Desktop (CSD) does not require that the ClearPageFileAtShutdown (aka CCE-Winv2.0-407) registry value equals 1, which might allow local users to read certain memory pages that were written during another user's SSL VPN session.
Some Honor products are affected by out of bounds read vulnerability, successful exploitation could cause information leak.
Out-of-bounds read in applying own binary with textbox in Samsung Notes prior to version 4.4.21.62 allows local attackers to potentially read memory.
In TBD of TBD, there is a possible out of bounds read due to TBD. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-206039140References: N/A
A stack-buffer-overflow was found in QEMU in the NVME component. The flaw lies in nvme_changed_nslist() where a malicious guest controlling certain input can read out of bounds memory. A malicious user could use this flaw leading to disclosure of sensitive information.
NXP LPC55S69 devices before A3 have a buffer over-read via a crafted wlength value in a GET Descriptor Configuration request during use of USB In-System Programming (ISP) mode. This discloses protected flash memory.
Out-of-bounds read in applying own binary in Samsung Notes prior to version 4.4.21.62 allows local attackers to potentially read memory.
In extract of MediaMetricsItem.h, there is a possible out of bounds read 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.Product: AndroidVersions: Android-11 Android-12Android ID: A-204445255
In HandleTransactionIoEvent of actuator_driver.cc, there is a possible out of bounds read due to a heap buffer overflow. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-204421047References: N/A
in OpenHarmony v3.2.4 and prior versions allow a local attacker causes information leak through out-of-bounds Read.
A vulnerability has been identified in JT2Go (All versions < V13.1.0.1), Teamcenter Visualization (All versions < V13.1.0.1). Affected applications lack proper validation of user-supplied data when parsing of RAS files. This could result in a memory access past the end of an allocated buffer. An attacker could leverage this vulnerability to access data in the context of the current process. (ZDI-CAN-12283)
Out-of-bounds read in applying paragraphs in Samsung Notes prior to version 4.4.21.62 allows local attackers to potentially read memory.
Out-of-bounds read in applying binary with data in Samsung Notes prior to version 4.4.21.62 allows local attackers to potentially read memory.
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.SdcaOptimizerV2`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/sdca_internal.cc#L320-L353) does not check that the length of `example_labels` is the same as the number of examples. We have patched the issue in GitHub commit a4e138660270e7599793fa438cd7b2fc2ce215a6. 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 read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.UpperBound`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/searchsorted_op.cc#L85-L104) does not validate the rank of `sorted_input` argument. A similar issue occurs in `tf.raw_ops.LowerBound`. We have patched the issue in GitHub commit 42459e4273c2e47a3232cc16c4f4fff3b3a35c38. 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 applying binary with text common object in Samsung Notes prior to version 4.4.21.62 allows local attackers to potentially read memory.
Out-of-bounds read in applying binary with path in Samsung Notes prior to version 4.4.21.62 allows local attackers to potentially read memory.
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.
TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's [`expand_dims.cc`](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/expand_dims.cc#L36-L50) contains a vulnerability which allows reading one element outside of bounds of heap allocated data. If `axis` is a large negative value (e.g., `-100000`), then after the first `if` it would still be negative. The check following the `if` statement will pass and the `for` loop would read one element before the start of `input_dims.data` (when `i = 0`). We have patched the issue in GitHub commit d94ffe08a65400f898241c0374e9edc6fa8ed257. 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.
In ProtocolMiscATCommandAdapter::Init() of protocolmiscadapter.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 GetSizeOfEenlRecords of protocoladapter.cpp, there is a possible out of bounds read due to an incorrect bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.
In NFA, 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.
Information disclosure while processing IOCTL call made for releasing a trusted VM process release or opening a channel without initializing the process.
In CPDF_SampledFunc::v_Call of cpdf_sampledfunc.cpp, there is a possible out of bounds read 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.Product: AndroidVersions: Android-11Android ID: A-150615407
In tpu_get_int_state of tpu.c, there is a possible information disclosure due to uninitialized data. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.
In tmu_get_tr_num_thresholds of tmu.c, 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.
Windows Cryptographic Services Information Disclosure Vulnerability
In gov_init, 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.
In Init of protocolnetadapter.cpp, 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.
In tmu_get_gov_time_windows, 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.
Windows Remote Access Connection Manager Information Disclosure Vulnerability
Out-of-bounds read in some Intel(R) Core(TM) processors with Radeon(TM) RX Vega M GL integrated graphics before version 21.10 may allow an authenticated user to potentially enable information disclosure via local access.
In 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 no additional execution privileges needed. User interaction is not needed for exploitation.
In ProtocolNetSimFileInfoAdapter() of protocolnetadapter.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 SignalStrengthAdapter::FillGsmSignalStrength() of protocolmiscadapter.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 create_pinctrl of core.c, there is a possible out of bounds read due to a use after free. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-140550171
Windows Remote Access Connection Manager Information Disclosure Vulnerability
The issue was addressed with improved memory handling. This issue is fixed in macOS Sequoia 15. An application may be able to read restricted memory.
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.
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.
An issue was discovered in Samsung Mobile Processor, Wearable Processor Exynos Exynos 980, Exynos 850, Exynos 1080, Exynos 1280, Exynos 1380, Exynos 1330, Exynos 1480, Exynos W920, Exynos W930. In the function slsi_rx_scan_done_ind(), there is no input validation check on a length coming from userspace, which can lead to a potential heap over-read.
In gsc_gsa_rescue of gsc_gsa.c, there is a possible out of bounds read due to an incorrect bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.