Inclusion of Functionality from Untrusted Control Sphere

In Eclipse Theia versions prior to 1.71.0, the AI chat agent processed workspace file and directory names as part of its prompt context without distinguishing them from system instructions. An attacker could craft a malicious repository with adversarial directory or file names that, when analyzed by the AI agent, would cause the agent to follow attacker-controlled instructions (indirect prompt injection). Combined with other AI chat features available in untrusted workspaces, this enabled attack chains leading to data exfiltration via Markdown image rendering or arbitrary command execution via task definitions.Show less

In Eclipse Theia versions prior to 1.71.0, the AI chat rendered Markdown image tags from AI responses, triggering HTTP requests to arbitrary external URLs without restriction. Combined with prompt injection in a malicious workspace, an attacker could induce the AI agent to construct image URLs encoding sensitive information from the workspace or conversation context, exfiltrating it to attacker-controlled servers. The workspace trust enforcement introduced in v1.71.0 mitigates the documented attack chain by disabling AI features in untrusted workspaces.Show less

Dell PowerFlex Manager, version(s) prior to 5.1.0.1, contain(s) an Inclusion of Functionality from Untrusted Control Sphere vulnerability. An unauthenticated attacker with remote access could potentially exploit this vulnerability, leading to Information disclosure.Show less

Yeoman Environment provides an API to discover, create, and run generators, and to configure where and how a generator is resolved. Versions 2.9.0 through 6.0.0 install missing local generator packages from caller-supplied package names without user confirmation. In downstream consumers that pass attacker-controlled project configuration into this path, this can result in arbitrary package installation and code execution during CLI bootstrap. The vulnerable method is installLocalGenerators(), which calls repository.install() directly without prompting the user. This issue has been fixed in version 6.0.0.Show less

Cursor is a code editor built for programming with AI. In versions prior to 3.0.0, the Cursor Desktop could execute workspace-defined Claude hook commands from .claude/settings.local.json without dedicated user approval. A malicious workspace or agent-created file could configure hooks that run local commands in the user's context when an agent turn ends. This could allow sandbox escape, persistence across turns, local data access, or follow-on compromise. This issue has been fixed in version 3.0.0.Show less

When the application executes the JavaScript script embedded in the PDF within the sandbox, it fails to intercept some dangerous interfaces, which allows remote scripts to be loaded, resulting in arbitrary code execution.Show less

OpenClaw before 2026.5.18 contains a code execution vulnerability where marketplace runtime extension metadata can redirect loading toward unscanned package payloads. Attackers with trusted operator access can manipulate extension metadata to load plugin code outside reviewed package entry points, bypassing security scanning.Show less

Vim is an open source, command line text editor. Prior to version 9.2.0561, the Python omni-completion script in python3complete.vim for Vim with the +python3 interpreter enabled (and the legacy pythoncomplete.vim for builds with the +python interpreter) executes the import and from statements found in the current buffer through Python's import machinery. Because the buffer's working directory is on sys.path, opening a hostile .py file with a sibling Python package and invoking omni-completion runs that package's top-level code as the editing user. This issue has been patched in version 9.2.0561.Show less

In Duck Site before version 1.0.1, the repository has a deploy workflow that runs after the build workflow completes. The build workflow runs on pull requests, while the deploy workflow runs with package-write permissions and deployment secrets. If an attacker can make a pull request build satisfy the deploy workflow’s main branch condition, the deploy job checks out the triggering workflow commit, builds it into a Docker image, pushes it as latest, and triggers Dokploy deployment. This can allow attacker-controlled pull request code to become the deployed production site image without being merged. This issue has been patched in version 1.0.1.Show less

Quest Bot is an opensource modern Discord Bot built for moderation, utilities and support. Prior to version 1.0.3, the repository has a privileged deploy workflow that runs after the unprivileged build workflow completes. The build workflow runs on pull requests, and the deploy workflow checks out the triggering workflow’s head_sha, builds that code into a Docker image, pushes it as latest, and triggers production deployment. If an attacker can open a pull request from a branch named main, the deploy workflow condition can treat the PR build as deployable and build the attacker-controlled commit in a privileged deployment context. This can result in malicious container deployment and production bot compromise. This issue has been patched in version 1.0.3.Show less

Atril Document Viewer is the default document reader of the MATE desktop environment for Linux. A single-click remote code execution vulnerability in versions prior to 1.26.3 and 1.28.4 allows an attacker to achieve arbitrary code execution as the user by tricking them into clicking a link inside a malicious PDF document. The PDF can be packaged as a polyglot file that is simultaneously a valid PDF and a valid ELF shared library, making the attack a single-file, single-click, configuration-independent RCE on stock atril installations. The root cause is `shell/ev-application.c:ev_spawn`, which builds a command line from attacker-controlled PDF link-destination fields without applying `g_shell_quote`. The cmdline is then handed to `g_app_info_create_from_commandline`, which shell-parses it back into argv — splitting any embedded `--gtk-module=PATH` into a separate argv element. GTK then `dlopen()`s the path during init, running any `__attribute__((constructor))` it finds. Versions 1.26.3 and 1.28.4 contain a patch for the issue. This is the same defect class as CVE-2023-51698 (CBT `--checkpoint-action` injection in `comics-document.c`, fixed in 1.6.2) but in a different code path (`shell/ev-application.c`) that the original patch did not touch.Show less

Inappropriate implementation in Extensions in Google Chrome prior to 149.0.7827.53 allowed an attacker in a privileged network position to execute arbitrary code inside a sandbox via a crafted Chrome Extension. (Chromium security severity: Low)Show less

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.Show less

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.Show less

An inclusion of functionality from untrusted control sphere vulnerability in OpenSSL configuration in Synology Active Backup for Business Recovery Media Creator before 2.5.0-2081 allows local users to execute arbitrary code via unspecified vectors.Show less

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.Show less

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.Show less

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.Show less