A Buffer Overflow in Thrift command handlers in IDEMIA Morpho Wave Compact and VisionPass devices before 2.6.2, Sigma devices before 4.9.4, and MA VP MD devices before 4.9.7 allows remote attackers to achieve code execution, denial of services, and information disclosure via TCP/IP packets.

When reading DesFire keys, the function that reads the card isn't properly checking the boundaries when copying internally the data received. This allows a heap based buffer overflow that could lead to a potential Remote Code Execution on the targeted device. This is especially problematic if you use Default DESFire key.

During the retrofit validation process, the firmware doesn't properly check the boundaries while copying some attributes to check. This allows a stack-based buffer overflow that could lead to a potential Remote Code Execution on the targeted device

The Parameter Zone Read and Parameter Zone Write command handlers allow performing a Stack buffer overflow. This could potentially lead to a Remote Code execution on the targeted device.

The handler of the retrofit validation command doesn't properly check the boundaries when performing certain validation operations. This allows a stack-based buffer overflow that could lead to a potential Remote Code Execution on the targeted device

When handling contactless cards, usage of a specific function to get additional information from the card which doesn't check the boundary on the data received while reading. This allows a stack-based buffer overflow that could lead to a potential Remote Code Execution on the targeted device

In kernel/bpf/hashtab.c in the Linux kernel through 5.13.8, there is an integer overflow and out-of-bounds write when many elements are placed in a single bucket. NOTE: exploitation might be impractical without the CAP_SYS_ADMIN capability.

In nfc_ncif_proc_get_routing of nfc_ncif.cc in Android-7.0, Android-7.1.1, Android-7.1.2, Android-8.0, Android-8.1 and Android-9, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. Android ID: A-117554809.

In driver_override_store of bus.c, there is a possible out of bounds write 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. Product: Android Versions: Android kernel Android ID: A-74128061 References: Upstream kernel.

In nfc_ncif_set_config_status of nfc_ncif.cc in Android-7.0, Android-7.1.1, Android-7.1.2, Android-8.0, Android-8.1 and Android-9, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. Android ID: A-114047681.

Insufficient validation of environment variables in the telnet client supplied in Junos OS can lead to stack-based buffer overflows, which can be exploited to bypass veriexec restrictions on Junos OS. A stack-based overflow is present in the handling of environment variables when connecting via the telnet client to remote telnet servers. This issue only affects the telnet client — accessible from the CLI or shell — in Junos OS. Inbound telnet services are not affected by this issue. This issue affects: Juniper Networks Junos OS: 12.3 versions prior to 12.3R12-S13; 12.3X48 versions prior to 12.3X48-D80; 14.1X53 versions prior to 14.1X53-D130, 14.1X53-D49; 15.1 versions prior to 15.1F6-S12, 15.1R7-S4; 15.1X49 versions prior to 15.1X49-D170; 15.1X53 versions prior to 15.1X53-D237, 15.1X53-D496, 15.1X53-D591, 15.1X53-D69; 16.1 versions prior to 16.1R3-S11, 16.1R7-S4; 16.2 versions prior to 16.2R2-S9; 17.1 versions prior to 17.1R3; 17.2 versions prior to 17.2R1-S8, 17.2R2-S7, 17.2R3-S1; 17.3 versions prior to 17.3R3-S4; 17.4 versions prior to 17.4R1-S6, 17.4R2-S3, 17.4R3; 18.1 versions prior to 18.1R2-S4, 18.1R3-S3; 18.2 versions prior to 18.2R1-S5, 18.2R2-S2, 18.2R3; 18.2X75 versions prior to 18.2X75-D40; 18.3 versions prior to 18.3R1-S3, 18.3R2; 18.4 versions prior to 18.4R1-S2, 18.4R2.

In BTA_HdRegisterApp of bta_hd_api.cc, there is a possible out-of-bound write due to a missing bounds check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android. Versions: Android-9. Android ID: A-113111784

Parsing malformed project files in Omron CX-One versions 4.42 and prior, including the following applications: CX-FLnet versions 1.00 and prior, CX-Protocol versions 1.992 and prior, CX-Programmer versions 9.65 and prior, CX-Server versions 5.0.22 and prior, Network Configurator versions 3.63 and prior, and Switch Box Utility versions 1.68 and prior, may cause a heap-based buffer overflow.

In HID_DevAddRecord of hidd_api.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 Bluetooth service with User execution privileges needed. User interaction is not needed for exploitation. Product: Android. Versions: Android-9. Android ID: A-79946737.

In persist_set_key and other functions of cryptfs.cpp, there is a possible out-of-bounds write due to an uncaught error. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android. Versions: Android-7.0 Android-7.1.1 Android-7.1.2 Android-8.0 Android-8.1 Android-9. Android ID: A-112731440.

In Omron CX-Supervisor Versions 3.30 and prior, parsing malformed project files may cause a stack-based buffer overflow.

In Omron CX-Supervisor Versions 3.30 and prior, parsing malformed project files may cause a heap-based buffer overflow.

In Omron CX-Supervisor Versions 3.30 and prior, parsing malformed project files may cause an out of bounds vulnerability.

Delta PMSoft versions 2.10 and prior have multiple stack-based buffer overflow vulnerabilities where a .ppm file can introduce a value larger than is readable by PMSoft's fixed-length stack buffer. This can cause the buffer to be overwritten, which may allow arbitrary code execution or cause the application to crash. CVSS v3 base score: 7.1; CVSS vector string: AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H. Delta Electronics recommends affected users update to at least PMSoft v2.11, which was made available as of March 22, 2018, or the latest available version.

The load_multiboot function in hw/i386/multiboot.c in Quick Emulator (aka QEMU) allows local guest OS users to execute arbitrary code on the QEMU host via a mh_load_end_addr value greater than mh_bss_end_addr, which triggers an out-of-bounds read or write memory access.

An issue was discovered in drivers/iio/dac/ad5755.c in the Linux kernel before 4.8.6. There is an out of bounds write in the function ad5755_parse_dt.

Parsing malformed project files in Omron CX-One versions 4.42 and prior, including the following applications: CX-FLnet versions 1.00 and prior, CX-Protocol versions 1.992 and prior, CX-Programmer versions 9.65 and prior, CX-Server versions 5.0.22 and prior, Network Configurator versions 3.63 and prior, and Switch Box Utility versions 1.68 and prior, may cause a stack-based buffer overflow.

vim is vulnerable to Heap-based Buffer Overflow

A stack-based buffer overflow can occur in fastboot from all Android releases(Android for MSM, Firefox OS for MSM, QRD Android) from CAF using the Linux kernel.

An issue was discovered on Samsung mobile devices with JBP(4.2) and KK(4.4) (Marvell chipsets) software. The ACIPC-MSOCKET driver allows local privilege escalation via a stack-based buffer overflow. The Samsung ID is SVE-2016-5393 (April 2016).

Stack-based buffer overflow in the m2m1shot_compat_ioctl32 function in the Samsung m2m1shot driver framework, as used in Samsung S6 Edge, allows local users to have unspecified impact via a large data.buf_out.num_planes value in an ioctl call.

RTI Connext DDS Professional and Connext DDS Secure Versions 4.2.x to 6.1.0 are vulnerable to a stack-based buffer overflow, which may allow a local attacker to execute arbitrary code.

vim is vulnerable to Heap-based Buffer Overflow

An issue was discovered in Contiki-NG through 4.1. There is a stack-based buffer overflow in next_string in os/storage/antelope/aql-lexer.c while parsing AQL (parsing next string).

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.

An out-of-bounds write flaw was found in the UAS (USB Attached SCSI) device emulation of QEMU in versions prior to 6.2.0-rc0. The device uses the guest supplied stream number unchecked, which can lead to out-of-bounds access to the UASDevice->data3 and UASDevice->status3 fields. A malicious guest user could use this flaw to crash QEMU or potentially achieve code execution with the privileges of the QEMU process on the host.

An out-of-bounds write can occur due to an incorrect input check in the camera driver in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables

Trusty contains a vulnerability in all trusted applications (TAs) where the stack cookie was not randomized, which might result in stack-based buffer overflow, leading to denial of service, escalation of privileges, and information disclosure.

Bootloader contains a vulnerability in NVIDIA MB2 where potential heap overflow might cause corruption of the heap metadata, which might lead to arbitrary code execution, denial of service, and information disclosure during secure boot.

This vulnerability allows local attackers to escalate privileges on affected installations of Parallels Desktop 16.1.3 (49160). An attacker must first obtain the ability to execute high-privileged code on the target guest system in order to exploit this vulnerability. The specific flaw exists within the virtio-gpu virtual device. The issue results from the lack of proper validation of user-supplied data, which can result in a memory corruption condition. An attacker can leverage this vulnerability to escalate privileges and execute arbitrary code in the context of the hypervisor. Was ZDI-CAN-13581.

Bootloader contains a vulnerability in NVIDIA MB2 where a potential heap overflow might lead to denial of service or escalation of privileges.

This vulnerability allows local attackers to escalate privileges on affected installations of Parallels Desktop 16.1.3 (49160). An attacker must first obtain the ability to execute high-privileged code on the target guest system in order to exploit this vulnerability. The specific flaw exists within the Toolgate component. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an allocated buffer. An attacker can leverage this vulnerability to escalate privileges and execute arbitrary code in the context of the hypervisor. Was ZDI-CAN-13601.

Stack based buffer overflow in le_ecred_conn_req(). Zephyr versions >= v2.5.0 Stack-based Buffer Overflow (CWE-121). For more information, see https://github.com/zephyrproject-rtos/zephyr/security/advisories/GHSA-8w87-6rfp-cfrm

NVIDIA Tegra kernel driver contains a vulnerability in NVIDIA NVDEC, where a user with high privileges might be able to read from or write to a memory location that is outside the intended boundary of the buffer, which may lead to denial of service, Information disclosure, loss of Integrity, or possible escalation of privileges.

An issue was discovered in mgetty before 1.2.1. In contrib/scrts.c, a stack-based buffer overflow can be triggered via a command-line parameter.

Out-of-bounds write in the Intel(R) Kernelflinger project may allow an authenticated user to potentially enable escalation of privilege via local access.

A vulnerability has been identified in JT2Go (All versions < V13.1.0.2), Teamcenter Visualization (All versions < V13.1.0.2). Affected applications lack proper validation of user-supplied data when parsing of PAR files. This could result in a stack based buffer overflow. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-12041)

An issue was discovered in mgetty before 1.2.1. In contrib/next-login/login.c, the command-line parameter username is passed unsanitized to strcpy(), which can cause a stack-based buffer overflow.

Trend Micro Home Network Security version 6.6.604 and earlier is vulnerable to an iotcl stack-based buffer overflow vulnerability which could allow an attacker to issue a specially crafted iotcl to escalate privileges on affected devices. An attacker must first obtain the ability to execute low-privileged code on the target device in order to exploit this vulnerability.

IBM DB2 for Linux, UNIX and Windows (includes DB2 Connect Server) 9.7, 10.1, 10.5, and 11.1 is vulnerable to stack based buffer overflow, caused by improper bounds checking which could lead an attacker to execute arbitrary code. IBM X-Force ID: 140210.

TensorFlow is an end-to-end open source platform for machine learning. An attacker can write outside the bounds of heap allocated arrays by passing invalid arguments to `tf.raw_ops.Dilation2DBackpropInput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/afd954e65f15aea4d438d0a219136fc4a63a573d/tensorflow/core/kernels/dilation_ops.cc#L321-L322) does not validate before writing to the output array. The values for `h_out` and `w_out` are guaranteed to be in range for `out_backprop` (as they are loop indices bounded by the size of the array). However, there are no similar guarantees relating `h_in_max`/`w_in_max` and `in_backprop`. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a heap buffer overflow in Eigen implementation of `tf.raw_ops.BandedTriangularSolve`. The implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L269-L278) calls `ValidateInputTensors` for input validation but fails to validate that the two tensors are not empty. Furthermore, since `OP_REQUIRES` macro only stops execution of current function after setting `ctx->status()` to a non-OK value, callers of helper functions that use `OP_REQUIRES` must check value of `ctx->status()` before continuing. This doesn't happen in this op's implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L219), hence the validation that is present is also not effective. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.FractionalAvgPoolGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/dcba796a28364d6d7f003f6fe733d82726dda713/tensorflow/core/kernels/fractional_avg_pool_op.cc#L216) fails to validate that the pooling sequence arguments have enough elements as required by the `out_backprop` tensor shape. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.