A command injection vulnerability in Atril Document Viewer prior to versions 1.26.3 and 1.28.4 allows remote code execution when a user clicks a malicious link inside a specially crafted PDF. The vulnerability arises from improper quoting of attacker-controlled PDF link-destination fields, enabling execution of arbitrary code with the user's privileges. The exploit can be packaged as a single file that is both a valid PDF and ELF shared library, facilitating single-click execution. Fixed in versions 1.26.3 and 1.28.4.
Version 3.0.7 of the Securly Chrome Extension dynamically registers content13.min.js as a content script via chrome.scripting.registerContentScripts() at runtime. This script is NOT declared in manifest.json and bypasses Chrome Web Store static security review. It runs on all URLs and immediately hides all page content, creates a full-page overlay, pauses all videos, and only restores content when the service worker confirms the page passes filtering. If Securly's servers are unreachable, pages remain indefinitely hidden.
A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The issue arises because the `trust_remote_code` parameter, intended to prevent remote code execution, is overridden by untrusted serialized configuration data in a nested code path. Specifically, when loading a LightGlue model using `AutoModel.from_pretrained()` with `trust_remote_code=False`, the `LightGlueConfig` reads the `trust_remote_code` value from the untrusted `config.json` file and propagates it into nested `AutoConfig.from_pretrained()` calls. This results in the execution of attacker-provided Python modules, even when the victim explicitly disables remote code execution. The vulnerability poses a high risk for environments such as API inference servers, research notebooks, CI/CD pipelines, and model evaluation workers, potentially leading to credential theft, lateral movement, or persistence/backdoor deployment.
Espressif Shared GitHub DangerJS is a reusable GitHub Action CI DangerJS workflow for Espressif GitHub projects. Prior to 1.0.1, the action's entrypoint.sh invoked DangerJS from the caller's workspace after copying the fork's checkout into it, creating an untrusted search path for both binary resolution and Node.js module resolution. A fork pull request processed by a pull_request_target workflow could therefore cause fork-supplied code to execute inside the action container in place of the action's own code. This vulnerability is fixed in 1.0.1.
The MLX inference backend in Docker Model Runner on macOS uses the MLX-LM library, which unconditionally imports and executes arbitrary Python files from model directories via the model_file configuration field in config.json. When a model's config.json specifies a model_file pointing to a Python file, MLX-LM uses importlib to load and execute it with no trust_remote_code gate or equivalent safety check. The MLX backend runs without sandboxing, resulting in arbitrary code execution on the Docker host as the Docker Desktop user.
Any container on the Docker network can trigger this by calling the model-runner.docker.internal API to pull a malicious model from an attacker-controlled OCI registry and request inference.
The vllm-metal inference backend in Docker Model Runner on macOS unconditionally sets trust_remote_code=True when loading model tokenizers, and runs without sandboxing. This causes transformers.AutoTokenizer.from_pretrained() to import and execute arbitrary Python files included in any model pulled from an OCI registry, resulting in arbitrary code execution on the Docker host as the Docker Desktop user when inference is triggered.
Any container on the Docker network can trigger this by calling the model-runner.docker.internal API to pull a malicious model and request inference.
Rapid7 Metasploit Pro is vulnerable to a local privilege escalation attack that allows a user to gain SYSTEM level control of a Windows host. When started the metasploitPostgreSQL service would start the postgres.exe child process which would in turn load an OpenSSL configuration file from a static location. This static location would be writable by a pre-existing "vagrant" user, if they already existed on the system. Metasploit does not create local accounts, an Administrator would need to create it. By planting a crafted openssl.cnf file an attacker can trick the high-privilege service into executing arbitrary commands. This effectively permits the unprivileged vagrant user to bypass security controls and achieve a full host compromise under the agent's SYSTEM level access.
css_parser is a Ruby CSS parser. Prior to 2.1.0 and 1.22.0, the CSS Parser gem does not validate HTTPS connections, allowing a Man-in-the-Middle (MITM) attacker to inject or modify CSS content when stylesheets are loaded via HTTPS. The connection is established with OpenSSL::SSL::VERIFY_NONE, meaning any HTTPS certificate—even entirely untrusted—will be accepted without validation. This vulnerability is fixed in 2.1.0 and 1.22.0.
vm2 is an open source vm/sandbox for Node.js. Prior to 3.11.0, NodeVM's builtin allowlist can be bypassed when the module builtin is allowed (including via the '*' wildcard). The module builtin exposes Node's Module._load(), which loads any module by name directly in the host context, completely bypassing vm2's builtin restriction. This allows sandboxed code to load excluded builtins like child_process and achieve remote code execution. This vulnerability is fixed in 3.11.0.
OpenClaw versions before 2026.4.20 have a vulnerability in the MCP stdio server configuration where improper validation of environment variables allows attackers to execute arbitrary code. Malicious workspace configurations can inject dangerous startup variables such as NODE_OPTIONS, LD_PRELOAD, or BASH_ENV into MCP server processes, enabling code injection during session startup.
PraisonAI is a multi-agent teams system. Prior to version 4.6.34, PraisonAI's MCP (Model Context Protocol) server (praisonai mcp serve) registers four file-handling tools by default — praisonai.rules.create, praisonai.rules.show, praisonai.rules.delete, and praisonai.workflow.show. Each accepts a path or filename string from MCP tools/call arguments and joins it onto ~/.praison/rules/ (or, for workflow.show, accepts an absolute path) with no containment check. The JSON-RPC dispatcher passes params["arguments"] blind to each handler via **kwargs without validating against the advertised input schema. By setting rule_name="../../<some-path>" an attacker walks out of the rules directory and writes any file the running user can write. Dropping a Python .pth file into the user site-packages directory escalates this primitive to arbitrary code execution in any subsequent Python process the user spawns — the next praisonai CLI invocation, an IDE script run, the user's python REPL, or any background Python service. This issue has been patched in version 4.6.34.
A path traversal vulnerability (CWE-22) exists in electerm versions prior to 3.7.16. The runWidget function improperly concatenates user-supplied widget identifiers without sanitization, allowing an attacker with JavaScript execution in the renderer process to load and execute arbitrary JavaScript files from the victim's filesystem. This leads to local code execution with the privileges of the electerm process and potential full system compromise. The issue is fixed in version 3.7.16.
OpenClaw versions before 2026.4.10 have a plugin trust bypass vulnerability (CWE-829) that allows malicious workspace plugins to be loaded before trusted bundled channel plugins during setup. This bypasses intended trust controls in plugin loading.
OpenClaw before version 2026.4.9 has an authentication bypass vulnerability (CVE-2026-43569) that allows untrusted workspace plugins to be automatically enabled during non-interactive onboarding when provider authentication choices are shadowed. This enables attackers to craft malicious plugins that are selected and enabled without explicit user consent, potentially compromising authentication integrity.
An issue was discovered in OpenStack ironic-python-agent 1.0.0 through 11.5.0. Ironic Python Agent (IPA) sometimes executes grub-install from within a chroot of the deployed partition image, leading to code execution in the case of a malicious image.
The goshs SimpleHTTPServer written in Go versions prior to 2.0.0-beta.6 contains a critical vulnerability (CVE-2026-40903) involving inclusion of functionality from an untrusted control sphere. This vulnerability, classified as CWE-829, can cause leakage of the GITHUB_TOKEN through workflow artifacts despite the token not being present in the repository source code. The issue is fixed starting from version 2.0.0-beta.6. The vulnerability has a high CVSS score of 9.
The Rapid7 Insight Agent (versions > 4.1.0.2) is vulnerable to a local privilege escalation attack that allows users to gain SYSTEM level control of a Windows host. Upon startup the agent service attempts to load an OpenSSL configuration file from a non-existent directory that is writable by standard users. By planting a crafted openssl.cnf file an attacker can trick the high-privilege service into executing arbitrary commands. This effectively permits an unprivileged user to bypass security controls and achieve a full host compromise under the agent’s SYSTEM level access.