In Emerson Ovation OCR400 Controller 3.3.1 and earlier, a stack-based buffer overflow vulnerability in the embedded third-party FTP server involves improper handling of a long file name from the LIST command to the FTP service, which may cause the service to overwrite buffers, leading to remote code execution and escalation of privileges.

A heap-buffer overflow vulnerability was found in the Redis hyperloglog data structure versions 3.x before 3.2.13, 4.x before 4.0.14 and 5.x before 5.0.4. By carefully corrupting a hyperloglog using the SETRANGE command, an attacker could trick Redis interpretation of dense HLL encoding to write up to 3 bytes beyond the end of a heap-allocated buffer.

A stack-buffer overflow vulnerability was found in the Redis hyperloglog data structure versions 3.x before 3.2.13, 4.x before 4.0.14 and 5.x before 5.0.4. By corrupting a hyperloglog using the SETRANGE command, an attacker could cause Redis to perform controlled increments of up to 12 bytes past the end of a stack-allocated buffer.

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.

A vulnerability exists in Schneider Electric's Modicon Quantum in all versions of the communication modules which could allow arbitrary code execution. An FTP command used to upgrade the firmware of the module can be misused to cause a denial of service, or in extreme cases, to load a malicious firmware.

A vulnerability has been identified in SCALANCE X302-7 EEC (230V), SCALANCE X302-7 EEC (230V, coated), SCALANCE X302-7 EEC (24V), SCALANCE X302-7 EEC (24V, coated), SCALANCE X302-7 EEC (2x 230V), SCALANCE X302-7 EEC (2x 230V, coated), SCALANCE X302-7 EEC (2x 24V), SCALANCE X302-7 EEC (2x 24V, coated), SCALANCE X304-2FE, SCALANCE X306-1LD FE, SCALANCE X307-2 EEC (230V), SCALANCE X307-2 EEC (230V, coated), SCALANCE X307-2 EEC (24V), SCALANCE X307-2 EEC (24V, coated), SCALANCE X307-2 EEC (2x 230V), SCALANCE X307-2 EEC (2x 230V, coated), SCALANCE X307-2 EEC (2x 24V), SCALANCE X307-2 EEC (2x 24V, coated), SCALANCE X307-3, SCALANCE X307-3, SCALANCE X307-3LD, SCALANCE X307-3LD, SCALANCE X308-2, SCALANCE X308-2, SCALANCE X308-2LD, SCALANCE X308-2LD, SCALANCE X308-2LH, SCALANCE X308-2LH, SCALANCE X308-2LH+, SCALANCE X308-2LH+, SCALANCE X308-2M, SCALANCE X308-2M, SCALANCE X308-2M PoE, SCALANCE X308-2M PoE, SCALANCE X308-2M TS, SCALANCE X308-2M TS, SCALANCE X310, SCALANCE X310, SCALANCE X310FE, SCALANCE X310FE, SCALANCE X320-1 FE, SCALANCE X320-1-2LD FE, SCALANCE X408-2, SCALANCE XR324-12M (230V, ports on front), SCALANCE XR324-12M (230V, ports on front), SCALANCE XR324-12M (230V, ports on rear), SCALANCE XR324-12M (230V, ports on rear), SCALANCE XR324-12M (24V, ports on front), SCALANCE XR324-12M (24V, ports on front), SCALANCE XR324-12M (24V, ports on rear), SCALANCE XR324-12M (24V, ports on rear), SCALANCE XR324-12M TS (24V), SCALANCE XR324-12M TS (24V), SCALANCE XR324-4M EEC (100-240VAC/60-250VDC, ports on front), SCALANCE XR324-4M EEC (100-240VAC/60-250VDC, ports on front), SCALANCE XR324-4M EEC (100-240VAC/60-250VDC, ports on rear), SCALANCE XR324-4M EEC (100-240VAC/60-250VDC, ports on rear), SCALANCE XR324-4M EEC (24V, ports on front), SCALANCE XR324-4M EEC (24V, ports on front), SCALANCE XR324-4M EEC (24V, ports on rear), SCALANCE XR324-4M EEC (24V, ports on rear), SCALANCE XR324-4M EEC (2x 100-240VAC/60-250VDC, ports on front), SCALANCE XR324-4M EEC (2x 100-240VAC/60-250VDC, ports on front), SCALANCE XR324-4M EEC (2x 100-240VAC/60-250VDC, ports on rear), SCALANCE XR324-4M EEC (2x 100-240VAC/60-250VDC, ports on rear), SCALANCE XR324-4M EEC (2x 24V, ports on front), SCALANCE XR324-4M EEC (2x 24V, ports on front), SCALANCE XR324-4M EEC (2x 24V, ports on rear), SCALANCE XR324-4M EEC (2x 24V, ports on rear), SCALANCE XR324-4M PoE (230V, ports on front), SCALANCE XR324-4M PoE (230V, ports on rear), SCALANCE XR324-4M PoE (24V, ports on front), SCALANCE XR324-4M PoE (24V, ports on rear), SCALANCE XR324-4M PoE TS (24V, ports on front), SIPLUS NET SCALANCE X308-2. The handling of arguments such as IP addresses in the CLI of affected devices is prone to buffer overflows. This could allow an authenticated remote attacker to execute arbitrary code on the device.

Multiple improper input validation vulnerabilities exists in the libnvram.so nvram_import functionality of InHand Networks InRouter302 V3.5.4. A specially-crafted file can lead to remote code execution. An attacker can send a sequence of requests to trigger this vulnerability.An improper input validation vulnerability exists in the `httpd`'s `user_define_print` function. Controlling the `user_define_timeout` nvram variable can lead to remote code execution.

Stack-based buffer overflow in the ej_update_variables function in router/httpd/web.c on ASUS routers (when using software from https://github.com/RMerl/asuswrt-merlin) allows web authenticated attackers to execute code via a request that updates a setting. In ej_update_variables, the length of the variable action_script is not checked, as long as it includes a "_wan_if" substring.

An exploitable stack-based buffer overflow vulnerability exists in the 802dot1xclientcert.cgi functionality of Sony IPELA E Series Camera G5 firmware 1.87.00. A specially crafted POST can cause a stack-based buffer overflow, resulting in remote code execution. An attacker can send a malicious POST request to trigger this vulnerability.

An exploitable remote code execution vulnerability exists in the ping and tracert functionality of the TP-Link TL-R600VPN HWv3 FRNv1.3.0 and HWv2 FRNv1.2.3 http server. A specially crafted IP address can cause a stack overflow, resulting in remote code execution. An attacker can send a single authenticated HTTP request to trigger this vulnerability.

Certain NETGEAR devices are affected by a stack-based buffer overflow by an authenticated user. This affects D7800 before 1.0.1.28, EX2700 before 1.0.1.32, EX6200v2 before 1.0.1.56, R7500v2 before 1.0.3.24, R7800 before 1.0.2.40, R9000 before 1.0.3.6, WN2000RPTv3 before 1.0.1.20, WN3000RPv3 before 1.0.2.52, WN3100RPv2 before 1.0.0.42, WNDR3700v4 before 1.0.2.92, WNDR4300 before 1.0.2.94, WNDR4300v2 before 1.0.0.50, WNDR4500v3 before 1.0.0.50, and WNR2000v5 before 1.0.0.62.

Certain NETGEAR devices are affected by a stack-based buffer overflow by an authenticated user. This affects R6700 before 1.0.1.48, R7500 before 1.0.0.124, R7800 before 1.0.2.58, R8900 before 1.0.4.2, R9000 before 1.0.4.2, WNDR3700v4 before 1.0.2.102, WNDR4300v1 before 1.0.2.104, WNDR4300v2 before 1.0.0.56, WNDR4500v3 before 1.0.0.56, and WNR2000v5-R2000 before 1.0.0.68.

Certain NETGEAR devices are affected by a stack-based buffer overflow by an authenticated user. This affects DGN2200Bv4 before 1.0.0.102, DGN2200v4 before 1.0.0.102, EX3700 before 1.0.0.70, EX3800 before 1.0.0.70, EX6000 before 1.0.0.30, EX6100 before 1.0.2.22, EX6120 before 1.0.0.40, EX6130 before 1.0.0.22, EX6150 before 1.0.0.38, EX6200 before 1.0.3.86, EX7000 before 1.0.0.64, R6300v2 before 1.0.4.22, R6900P before 1.3.0.18, R7000P before 1.3.0.18, R7300DST before 1.0.0.62, R7900P before 1.3.0.10, R8000 before 1.0.4.12, R8000P before 1.3.0.10, WN2500RPv2 before 1.0.1.52, and WNDR3400v3 before 1.0.1.18.

Certain NETGEAR devices are affected by a stack-based buffer overflow by an authenticated user. This affects D6100 before 1.0.0.57, R7500 before 1.0.0.122, R7800 before 1.0.2.40, R9000 before 1.0.2.52, WNDR3700v4 before 1.0.2.92, WNDR4300 before 1.0.2.94, WNDR4300v2 before 1.0.0.50, WNDR4500v3 before 1.0.0.50, and WNR2000v5 before 1.0.0.62.

Certain NETGEAR devices are affected by a stack-based buffer overflow by an authenticated user. This affects D6100 before 1.0.0.57, R6100 before 1.0.1.20, R7800 before 1.0.2.40, R9000 before 1.0.2.52, WNDR3700v4 before 1.0.2.92, WNDR4300 before 1.0.2.94, WNDR4300v2 before 1.0.0.50, WNDR4500v3 before 1.0.0.50, and WNR2000v5 before 1.0.0.62.

NVIDIA DCGM contains a vulnerability in nvhostengine, where a network user can cause detection of error conditions without action, which may lead to limited code execution, some denial of service, escalation of privileges, and limited impacts to both data confidentiality and integrity.

Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseCountSparseOutput` is vulnerable to a heap overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

An out-of-bounds write vulnerability exists in the device TestEmail functionality of reolink RLC-410W v3.0.0.136_20121102. A specially-crafted network request can lead to an out-of-bounds write. An attacker can send an HTTP request to trigger this vulnerability.

The Gluster file system through versions 4.1.4 and 3.12 is vulnerable to a heap-based buffer overflow in the '__server_getspec' function via the 'gf_getspec_req' RPC message. A remote authenticated attacker could exploit this to cause a denial of service or other potential unspecified impact.

UnixAuthenticationService in Apache Ranger 1.2.0 was updated to correctly handle user input to avoid Stack-based buffer overflow. Versions prior to 1.2.0 should be upgraded to 1.2.0

Certain NETGEAR devices are affected by a stack-based buffer overflow by an authenticated user. This affects R6400 before 1.0.1.70, R7000 before 1.0.11.126, R7900 before 1.0.4.46, R7900P before 1.4.2.84, R7960P before 1.4.2.84, R8000 before 1.0.4.74, R8000P before 1.4.2.84, RAX200 before 1.0.4.120, RS400 before 1.5.1.80, R6400v2 before 1.0.4.118, R7000P before 1.3.3.140, RAX80 before 1.0.4.120, R6700v3 before 1.0.4.118, R6900P before 1.3.3.140, and RAX75 before 1.0.4.120.

Certain NETGEAR devices are affected by a stack-based buffer overflow by an authenticated user. This affects R6400 before 1.0.1.68, R7000 before 1.0.11.116, R6900P before 1.3.3.140, R7000P before 1.3.3.140, R7900 before 1.0.4.38, RAX75 before 1.0.3.102, RAX80 before 1.0.3.102, and XR300 before 1.0.3.50.

Certain NETGEAR devices are affected by a stack-based buffer overflow by an authenticated user. This affects R6400v2 before 1.0.4.118, R6700v3 before 1.0.4.118, R6900P before 1.3.3.140, R7000 before 1.0.11.126, R7000P before 1.3.3.140, RAX200 before 1.0.5.126, RAX75 before 1.0.5.126, and RAX80 before 1.0.5.126.

It was found that glusterfs server is vulnerable to multiple stack based buffer overflows due to functions in server-rpc-fopc.c allocating fixed size buffers using 'alloca(3)'. An authenticated attacker could exploit this by mounting a gluster volume and sending a string longer that the fixed buffer size to cause crash or potential code execution.

The remote management interface of cgminer 4.10.0 and bfgminer 5.5.0 allows an authenticated remote attacker to execute arbitrary code due to a stack-based buffer overflow in the addpool, failover-only, poolquota, and save command handlers.

A heap-based buffer overflow in Fortinet FortiWeb version 6.4.1 and 6.4.0, version 6.3.15 and below, version 6.2.6 and below allows attacker to execute unauthorized code or commands via crafted HTTP requests to the LogReport API controller.

Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow's `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. Users are advised to upgrade as soon as possible.

Certain NETGEAR devices are affected by out-of-bounds reads and writes. This affects R6400 before 1.0.1.70, RAX75 before 1.0.4.120, RAX80 before 1.0.4.120, and XR300 before 1.0.3.50.

NETGEAR R6400 devices before 1.0.1.52 are affected by a stack-based buffer overflow by an authenticated user.

A stack-based buffer overflow in Fortinet FortiWeb version 6.3.14 and below, 6.2.4 and below allows attacker to execute unauthorized code or commands via crafted parameters in CLI command execution

Multiple stack-based buffer overflows in the command line interpreter of FortiWeb before 6.4.2 may allow an authenticated attacker to achieve arbitrary code execution via specially crafted commands.

Multiple stack-based buffer overflows in the API controllers of FortiWeb 6.4.1, 6.4.0, and 6.3.0 through 6.3.15 may allow an authenticated attacker to achieve arbitrary code execution via specially crafted requests.

Quick emulator (QEMU) built with the Cirrus CLGD 54xx VGA emulator support is vulnerable to an out-of-bounds access issue. It could occur while copying VGA data via bitblt copy in backward mode. A privileged user inside a guest could use this flaw to crash the QEMU process resulting in DoS or potentially execute arbitrary code on the host with privileges of QEMU process on the host.

A stack buffer overflow flaw was found in the Quick Emulator (QEMU) before 2.9 built with the Network Block Device (NBD) client support. The flaw could occur while processing server's response to a 'NBD_OPT_LIST' request. A malicious NBD server could use this issue to crash a remote NBD client resulting in DoS or potentially execute arbitrary code on client host with privileges of the QEMU process.

A stack buffer overflow vulnerability has been reported to affect QNAP device running QTS, QuTScloud, QuTS hero. If exploited, this vulnerability allows attackers to execute arbitrary code. We have already fixed this vulnerability in the following versions of QTS, QuTScloud, QuTS hero: QTS 4.5.4.1715 build 20210630 and later QTS 5.0.0.1716 build 20210701 and later QuTScloud c4.5.6.1755 and later QuTS hero h4.5.4.1771 build 20210825 and later

Multiple camera devices by UDP Technology, Geutebrück and other vendors are vulnerable to a stack-based buffer overflow condition in the name parameter, which may allow an attacker to remotely execute arbitrary code.

Multiple camera devices by UDP Technology, Geutebrück and other vendors are vulnerable to a stack-based buffer overflow condition in the action parameter, which may allow an attacker to remotely execute arbitrary code.

Multiple camera devices by UDP Technology, Geutebrück and other vendors are vulnerable to a stack-based buffer overflow condition in the profile parameter which may allow an attacker to remotely execute arbitrary code.

Redis is an open source, in-memory database that persists on disk. In affected versions specially crafted Lua scripts executing in Redis can cause the heap-based Lua stack to be overflowed, due to incomplete checks for this condition. This can result with heap corruption and potentially remote code execution. This problem exists in all versions of Redis with Lua scripting support, starting from 2.6. The problem is fixed in versions 6.2.6, 6.0.16 and 5.0.14. For users unable to update an additional workaround to mitigate the problem without patching the redis-server executable is to prevent users from executing Lua scripts. This can be done using ACL to restrict EVAL and EVALSHA commands.

A vulnerability has been identified in APOGEE MBC (PPC) (BACnet) (All versions), APOGEE MBC (PPC) (P2 Ethernet) (All versions), APOGEE MEC (PPC) (BACnet) (All versions), APOGEE MEC (PPC) (P2 Ethernet) (All versions), APOGEE PXC Compact (BACnet) (All versions < V3.5.4), APOGEE PXC Compact (P2 Ethernet) (All versions < V2.8.19), APOGEE PXC Modular (BACnet) (All versions < V3.5.4), APOGEE PXC Modular (P2 Ethernet) (All versions < V2.8.19), Desigo PXC00-E.D (All versions >= V2.3 and < V6.30.016), Desigo PXC00-U (All versions >= V2.3 and < V6.30.016), Desigo PXC001-E.D (All versions >= V2.3 and < V6.30.016), Desigo PXC100-E.D (All versions >= V2.3 and < V6.30.016), Desigo PXC12-E.D (All versions >= V2.3 and < V6.30.016), Desigo PXC128-U (All versions >= V2.3 and < V6.30.016), Desigo PXC200-E.D (All versions >= V2.3 and < V6.30.016), Desigo PXC22-E.D (All versions >= V2.3 and < V6.30.016), Desigo PXC22.1-E.D (All versions >= V2.3 and < V6.30.016), Desigo PXC36.1-E.D (All versions >= V2.3 and < V6.30.016), Desigo PXC50-E.D (All versions >= V2.3 and < V6.30.016), Desigo PXC64-U (All versions >= V2.3 and < V6.30.016), Desigo PXM20-E (All versions >= V2.3 and < V6.30.016), Nucleus NET (All versions), Nucleus ReadyStart V3 (All versions < V2017.02.4), Nucleus Source Code (All versions), TALON TC Compact (BACnet) (All versions < V3.5.4), TALON TC Modular (BACnet) (All versions < V3.5.4). FTP server does not properly validate the length of the “PWD/XPWD” command, leading to stack-based buffer overflows. This may result in Denial-of-Service conditions and Remote Code Execution. (FSMD-2021-0016)

Multiple instances of heap-based buffer overflow in the command shell of FortiSandbox before 4.0.0 may allow an authenticated attacker to manipulate memory and alter its content by means of specifically crafted command line arguments.

A possible stack-based buffer overflow vulnerability in Exynos CP Chipset prior to SMR Oct-2021 Release 1 allows arbitrary memory write and code execution.

Stack-based buffer overflow vulnerability in frontend/main.c in faad2 before 2.2.7.1 allow local attackers to execute arbitrary code via filename and pathname options.

A specially crafted TCP/IP packet may cause a camera recovery image telnet interface to crash. It may also cause a buffer overflow which could enable remote code execution. The recovery image can only be booted with administrative rights or with physical access to the camera and allows the upload of a new firmware in case of a damaged firmware.

A specially crafted TCP/IP packet may cause the camera recovery image web interface to crash. It may also cause a buffer overflow which could enable remote code execution. The recovery image can only be booted with administrative rights or with physical access to the camera and allows the upload of a new firmware in case of a damaged firmware.