| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Access of resource using incompatible type ('type confusion') in Microsoft Office Word allows an unauthorized attacker to execute code locally. |
| Deserialization of untrusted data in Microsoft Office SharePoint allows an authorized attacker to execute code over a network. |
| Use after free in Microsoft Office Excel allows an unauthorized attacker to execute code locally. |
| Heap-based buffer overflow in Microsoft Office allows an unauthorized attacker to execute code locally. |
| Integer overflow or wraparound in Windows DWM Core Library allows an authorized attacker to elevate privileges locally. |
| Insufficient validation of untrusted input in WebShare in Google Chrome on Android prior to 148.0.7778.216 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: High) |
| Access of resource using incompatible type ('type confusion') in Windows Ancillary Function Driver for WinSock allows an authorized attacker to elevate privileges locally. |
| Windows TCP/IP Denial of Service Vulnerability |
| Concurrent execution using shared resource with improper synchronization ('race condition') in Windows TCP/IP allows an authorized attacker to elevate privileges locally. |
| Access of resource using incompatible type ('type confusion') in Microsoft Office Word allows an unauthorized attacker to execute code locally. |
| Use after free in Windows Win32K - GRFX allows an authorized attacker to elevate privileges locally. |
| Access of resource using incompatible type ('type confusion') in Windows Ancillary Function Driver for WinSock allows an authorized attacker to elevate privileges locally. |
| Access of resource using incompatible type ('type confusion') in Windows Ancillary Function Driver for WinSock allows an authorized attacker to elevate privileges locally. |
| Concurrent execution using shared resource with improper synchronization ('race condition') in Windows Win32K - GRFX allows an authorized attacker to elevate privileges locally. |
| OpenClaw before 2026.5.18 contains an authorization bypass vulnerability in QQBot native approval buttons that fails to enforce configured approver identity. Non-approver users can click approval buttons to resolve pending exec or plugin approval requests without proper authorization. |
| OpenClaw before 2026.5.18 contains a scope bypass vulnerability in the Gateway chat.send route that allows scoped clients to execute privileged commands. Attackers with operator.write scope can deliver commands through inherited external routes to bypass operator.approvals and operator.admin scope requirements, enabling unauthorized plugin, config, MCP, allowlist, and ACP mutations. |
| Use after free in WebAppInstalls in Google Chrome on Mac prior to 148.0.7778.216 allowed a remote attacker who convinced a user to engage in specific UI gestures to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High) |
| Inappropriate implementation in ANGLE in Google Chrome on Mac prior to 148.0.7778.216 allowed a remote attacker to execute arbitrary code inside a sandbox via a crafted HTML page. (Chromium security severity: High) |
| In wlan AP driver, there is a possible memory corruption due to a heap buffer overflow. This could lead to remote (proximal/adjacent) code execution with User execution privileges needed. User interaction is not needed for exploitation. Patch ID: WCNCR00480138; Issue ID: MSV-6295. |
| 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. |
