| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Improper neutralization of special elements used in a command ('command injection') in Copilot Chat (Microsoft Edge) allows an unauthorized attacker to execute code over a network. |
| Use after free in Core in Google Chrome on Windows prior to 150.0.7871.125 allowed a remote attacker to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: High) |
| Use after free in Views in Google Chrome prior to 150.0.7871.47 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: Critical) |
| Improper authorization in Azure Portal allows an unauthorized attacker to disclose information over a network. |
| Improper authentication in Microsoft Exchange Online allows an unauthorized attacker to perform tampering over a network. |
| Improper access control in Azure App Service allows an unauthorized attacker to elevate privileges over a network. |
| Missing authorization in Azure DNS allows an unauthorized attacker to elevate privileges over a network. |
| Improper authentication in Azure Key Vault allows an unauthorized attacker to elevate privileges over a network. |
| Server-side request forgery (ssrf) in Data Quality allows an unauthorized attacker to elevate privileges over a network. |
| Deserialization of untrusted data in M365 Copilot allows an authorized attacker to execute code over a network. |
| Improper authorization in Azure Red Hat OpenShift (ARO) allows an authorized attacker to elevate privileges over a network. |
| Improper input validation in Microsoft Surface allows an authorized attacker to execute code over a network. |
| Heap-based buffer overflow in Microsoft Account allows an unauthorized attacker to execute code over a network. |
| Missing authentication for critical function in Microsoft Azure Kubernetes Service allows an unauthorized attacker to elevate privileges over a network. |
| IBM Langflow OSS 1.0.0 through 1.10.1 contains hard-coded credentials, such as a password or cryptographic key, which it uses for its own inbound authentication, outbound communication to external components, or encryption of internal data. |
| Deserialization of untrusted data in Microsoft Office SharePoint allows an unauthorized attacker to execute code over a network. |
| IBM Langflow OSS 1.0.0 through 1.10.0 allows authenticated users to escalate privileges to superuser by directly manipulating the database, execute arbitrary system commands, and achieve full system compromise with Langflow service permissions. |
| IBM Langflow OSS 1.0.0 through 1.10.0 Langflow versions up to 1.9.2 (commit 94981c443d4918517b9e8163d70fc598dc33a32d) contain a code injection vulnerability in the Policies component's ToolGuard integration that bypasses the allow_custom_components=false security control. The vulnerability exists because the validation mechanism only checks the main component source code in node_template["code"]["value"] but fails to validate dynamic CodeInput fields that store generated ToolGuard Python files. Attackers can embed malicious Python code in these unvalidated dynamic fields, which are persisted in Flow.data and later executed server-side when a guarded tool is invoked through the ToolGuard runtime. This allows authenticated users with flow creation privileges to achieve arbitrary Python code execution on the backend despite custom component restrictions. The vulnerability can be escalated through cross-tenant flow manipulation via the agentic MCP update_flow_component_field tool, which accepts attacker-controlled user_id parameters, enabling attackers to inject malicious code into victim users' flows. When combined with publicly accessible flows and specific misconfigurations (AUTO_LOGIN=true, NEW_USER_IS_ACTIVE=true), the attack can be conducted with reduced authentication requirements. |
| Microsoft Message Queuing (MSMQ) Remote Code Execution Vulnerability |
| IBM Langflow OSS 1.0.0 through 1.10.0 contain a critical remote code execution vulnerability in the disk-based caching mechanism. The AsyncDiskCache class uses Python's unsafe pickle.loads() function to deserialize cached objects from disk without validation, integrity verification, or authentication, enabling arbitrary code execution when malicious pickle payloads are processed. Attackers who can influence cached data through file system access, malicious workflow inputs, custom components, or API manipulation can achieve complete system compromise with the privileges of the Langflow server process. |