Base de CVEs

The Custom Block Builder – Lazy Blocks plugin for WordPress is vulnerable to Remote Code Execution in all versions up to, and including, 4.2.0 via multiple functions in the 'LazyBlocks_Blocks' class. This makes it possible for authenticated attackers, with Contributor-level access and above, to execute code on the server.

The Lucky Wheel Giveaway plugin for WordPress is vulnerable to Remote Code Execution in all versions up to, and including, 1.0.22 via the conditional_tags parameter. This is due to the plugin using PHP's eval() function on user-controlled input without proper validation or sanitization. This makes it possible for authenticated attackers, with Administrator-level access and above, to execute code on the server.

Improper control of generation of code ('code injection') in Microsoft Defender for Linux allows an unauthorized attacker to execute code over an adjacent network.

ZAI Shell is an autonomous SysOps agent designed to navigate, repair, and secure complex environments. Prior to 9.0.3, the P2P terminal sharing feature (share start) opens a TCP socket on port 5757 without any authentication mechanism. Any remote attacker can connect to this port using a simple socket script. An attacker who connects to a ZAI-Shell P2P session running in --no-ai mode can send arbitrary system commands. If the host user approves the command without reviewing its contents, the command executes directly with the user's privileges, bypassing all Sentinel safety checks. This vulnerability is fixed in 9.0.3.

A vulnerability was detected in abhiphile fermat-mcp up to 47f11def1cd37e45dd060f30cdce346cbdbd6f0a. This vulnerability affects the function eqn_chart of the file fmcp/mpl_mcp/core/eqn_chart.py. Performing a manipulation of the argument equations results in code injection. 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 informed of the problem early through an issue report but has not responded yet.

An issue in ChestnutCMS v.1.5.8 and before allows a remote attacker to execute arbitrary code via the template creation function

A discrepancy between how Go and C/C++ comments were parsed allowed for code smuggling into the resulting cgo binary.

NVIDIA Megatron-LM for all platforms contains a vulnerability in a script, where malicious data created by an attacker may cause a code injection issue. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, data tampering.

Backstage is an open framework for building developer portals, and @backstage/plugin-techdocs-node provides common node.js functionalities for TechDocs. In versions of @backstage/plugin-techdocs-node prior to 1.13.11 and 1.14.1, when TechDocs is configured with `runIn: local`, a malicious actor who can submit or modify a repository's `mkdocs.yml` file can execute arbitrary Python code on the TechDocs build server via MkDocs hooks configuration. @backstage/plugin-techdocs-node versions 1.13.11 and 1.14.1 contain a fix. The fix introduces an allowlist of supported MkDocs configuration keys. Unsupported configuration keys (including `hooks`) are now removed from `mkdocs.yml` before running the generator, with a warning logged to indicate which keys were removed. Users of `@techdocs/cli` should also upgrade to the latest version, which includes the fixed `@backstage/plugin-techdocs-node` dependency. Some workarounds are available. Configure TechDocs with `runIn: docker` instead of `runIn: local` to provide container isolation, though it does not fully mitigate the risk. Limit who can modify `mkdocs.yml` files in repositories that TechDocs processes; only allow trusted contributors. Implement PR review requirements for changes to `mkdocs.yml` files to detect malicious `hooks` configurations before they are merged. Use MkDocs < 1.4.0 (e.g., 1.3.1) which does not support hooks. Note: This may limit access to newer MkDocs features. Building documentation in CI/CD pipelines using `@techdocs/cli` does not mitigate this vulnerability, as the CLI uses the same vulnerable `@backstage/plugin-techdocs-node` package.

Salt's junos execution module contained an unsafe YAML decode/load usage. A specially crafted YAML payload processed by the junos module could lead to unintended code execution under the context of the Salt process.

AutoGPT is a platform that allows users to create, deploy, and manage continuous artificial intelligence agents that automate complex workflows. Prior to autogpt-platform-beta-v0.6.44, AutoGPT Platform's block execution endpoints (both main web API and external API) allow executing blocks by UUID without checking the `disabled` flag. Any authenticated user can execute the disabled `BlockInstallationBlock`, which writes arbitrary Python code to the server filesystem and executes it via `__import__()`, achieving Remote Code Execution. In default self-hosted deployments where Supabase signup is enabled, an attacker can self-register; if signup is disabled (e.g., hosted), the attacker needs an existing account. autogpt-platform-beta-v0.6.44 contains a fix.

An HTML injection vulnerability in Amidaware Inc Tactical RMM v1.3.1 and earlier allows authenticated users to inject arbitrary HTML content during the creation of a new agent via the POST /api/v3/newagent/ endpoint. The agent_id parameter accepts up to 255 characters and is improperly sanitized using DOMPurify.sanitize() with the html: true option enabled, which fails to adequately filter HTML input. The injected HTML is rendered in the Tactical RMM management panel when an administrator attempts to remove or shut down the affected agent, potentially leading to client-side attacks such as UI manipulation or phishing. NOTE: the Supplier's position is that this has incorrect information.

The Node.js package browserstack-local 1.5.8 contains a command injection vulnerability. This occurs because the logfile variable is not properly sanitized in lib/Local.js.

PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.