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The Analytics Insights – Google Analytics Dashboard for WordPress plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the Page Title in all versions up to, and including, 6.3.12 due to insufficient input sanitization and output escaping. This makes it possible for unauthenticated attackers to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page.

The Payex Payment Gateway for Woocommerce WordPress plugin through 1.2.10 does not properly verify the authenticity of incoming payment notifications, relying on a validation secret that is empty by default, allowing unauthenticated attackers to forge a valid payment confirmation and mark any order as paid.

The Payment Integration Wompi WordPress plugin through 4.0.1 does not verify the authenticity of incoming payment notifications on a stock install, because the callback's checksum is keyed on a merchant secret that is empty until it is manually configured, allowing an unauthenticated attacker to forge a notification and mark an arbitrary order as paid.

Untrusted Pointer Dereference in ASUS certain motherboards firmware allows a kernel-level privileges user can supply an arbitrary memory address via an I/O command, leading to subsequent system information being tampered with or causing a system crash. Refer to the 'Security Update for Multiple ASUS Motherboards' section on the ASUS Security Advisory for more information.

A flaw has been found in Saruf-Ratul HR-Payroll-Management-System e7cd81477001afdee95b843fd4137894d9418c9f/3fd6f45ead9f8197510c0910f759e06ee67251e5. Affected by this vulnerability is an unknown functionality of the file chat.php. Executing a manipulation of the argument ID can lead to cross site scripting. It is possible to launch the attack remotely. The exploit has been published and may be used. This product takes the approach of rolling releases to provide continious delivery. Therefore, version details for aff…

A vulnerability was detected in MD-MAFUJUL-HASAN Online-Payroll-Management-System up to a8902bf64575e325f6d6bf93a55f7bd273ec58cd. Affected is an unknown function of the file chat.php. Performing a manipulation of the argument ID results in cross site scripting. It is possible to initiate the attack remotely. The exploit is now public and may be used. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available. The project was …

Rejected reason: Maintainers determined it is not a vulnerability.

Fclairamb ftpserverlib through 0.32.4 contains a cleartext transmission vulnerability because TransferOpen checks only the transferTLS flag set by PROT, not whether the prepared data connection uses TLS. When a client sends PROT P after PASV or PORT, file contents and directory listings cross the network unencrypted, even with mandatory encryption, letting on-path attackers read or modify them.

Mistral Vibe before 3.0.3 contains a remote code execution vulnerability that allows attackers to run commands by defining git filter drivers in an untrusted repository's .git/config. When started with --worktree, git worktree add applies .gitattributes and runs filter smudge, clean, or process commands before the trusted-folder check, executing attacker commands with user privileges.

DevilutionX 1.4.0 through 1.5.5 contains a heap buffer overflow vulnerability in the bundled libmpq libmpq__archive_dup routine when opening crafted MPQ archives. Attackers can supply an MPQ archive whose block table count exceeds its hash table count, causing memcpy to overflow the heap during startup and crash the game.

DevilutionX 1.4.0 through 1.5.5 contains an out-of-bounds read vulnerability in the bundled libmpq libmpq__file_number_from_hash function that allows attackers to read heap memory via unchecked block_table_index values. Attackers can place a crafted .mpq archive in the game's data path, such as a mod, to trigger reads past mpq_map and crash the game.

llama.cpp b5854 before b11275 contains an integer overflow vulnerability in gguf_init_from_reader that bypasses the CVE-2025-53630 size check when padding near-SIZE_MAX tensor sizes. Attackers can supply a crafted GGUF file whose tensor size pads to zero, causing an undersized data blob and out-of-bounds reads by consumers.

A malicious actor who lures an authenticated user to a malicious page could exploit a Cross-Site Request Forgery (CSRF) vulnerability found in airMAX M devices to make unauthorized changes and execute a Denial of Service (DoS) attack on the device.

A malicious actor who lures an authenticated user to a malicious page could exploit a Cross-Site Request Forgery (CSRF) vulnerability found in airMAX M devices to execute a Command Injection on the device.

A malicious actor with access to the adjacent network could exploit a Heap-based Buffer Overflow vulnerability found in airMAX M, LTU, SolarPoint, and SolarSwitch devices to execute arbitrary code on the device.

A malicious actor with access to the adjacent network and under certain conditions could exploit a Stored Cross-Site Scripting (XSS) vulnerability found in airMAX M devices to escalate privileges on the device.

llama.cpp b10398 before b11301 contains an integer overflow vulnerability in gguf_init_from_reader that allows attackers to bypass tensor element-count validation by supplying shapes whose product wraps to zero. Attackers can craft GGUF files with enormous tensor extents that overflow ggml_nbytes() and strides, causing out-of-bounds memory access when buffers are sized from wrapped byte counts.

llama.cpp b5899 before b10261 contains a heap out-of-bounds write vulnerability in llm_tokenizer_plamo2::build that allows attackers to corrupt heap memory via crafted GGUF models. Attackers can supply BYTE-typed token text like <0x-1> whose negative parsed value writes token ids before the bytes_ buffer during model loading, causing crashes or potential code execution.

A vulnerability was detected in code-projects Simple Content Management System 1.0. Impacted is an unknown function of the file /web/admin/welcome.php of the component Admin Interface. The manipulation of the argument addnews results in missing authorization. The attack can be launched remotely. The exploit is now public and may be used.

A security vulnerability has been detected in Tencent RapidJSON up to 1.1.0. This issue affects the function GenericStringStream<UTF8<char>>::Take in the library include/rapidjson/stream.h of the component Regex Parser. The manipulation leads to out-of-bounds read. The attack can be initiated remotely. The exploit has been disclosed publicly and may be used. The project was informed of the problem early through an issue report but has not responded yet.

A security vulnerability has been detected in DAMO Academy VideoLLaMA2 up to 1.1. Affected by this issue is the function load_pretrained_model of the file videollama2/model/__init__.py of the component Model Loading. The manipulation of the argument _name_or_path leads to improper validation of integrity check value. Remote exploitation of the attack is possible. The exploit has been disclosed publicly and may be used. The project was informed of the problem early through an issue report but has not responded yet.

A vulnerability was found in SourceCodester Online Food Ordering System 1.0. The impacted element is an unknown function of the file order.php. The manipulation of the argument price/title results in client-side enforcement of server-side security. It is possible to launch the attack remotely. The exploit has been made public and could be used.

llama.cpp before b5649 contains a heap out-of-bounds read vulnerability in llama_vocab::impl::print_info() that allows attackers to crash model loading via oversized special token IDs. Attackers can supply a crafted GGUF model with a short tokenizer.ggml.tokens array, causing llama-cli or llama-server to read past id_to_token and crash.

llama.cpp before b3701 contains an out-of-bounds read vulnerability in llama_decode_internal and llama_encode_internal that allows remote unauthenticated attackers to read memory by supplying unvalidated token IDs. Attackers can send integer-array prompts to the llama-server /completion endpoint with IDs outside 0 to n_vocab to read embedding memory out of bounds or crash the process.

llama.cpp before b2731 contains an out-of-bounds read vulnerability in llama_model_loader that allows attackers to read memory outside the mapped model file via crafted GGUF tensor offsets. Attackers can supply a crafted or truncated GGUF model file with arbitrary 64-bit tensor offsets to crash the process or load adjacent process memory as model weights.