| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| n8n-MCP is an MCP server that provides AI assistants access to n8n node documentation, properties, and operations. Prior to 2.56.1, in HTTP mode with multi-tenancy enabled through ENABLE_MULTI_TENANT=true, n8n-mcp's local workflow version history backups were not isolated per tenant, allowing an authenticated tenant to read workflow version snapshots belonging to other tenants and delete or destroy other tenants' stored backups, including full node definitions, credential references, and authorization headers. This issue is fixed in version 2.56.1. |
| NVIDIA TensorRT-LLM for Linux contains a vulnerability in the restricted unpickler used for model weight deserialization, where a local, unauthenticated attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure. |
| NVIDIA TensorRT-LLM contains a vulnerability in its inter-process communication layer where an attacker with local same-user access could cause deserialization. A successful exploit of this vulnerability might lead to code execution, information disclosure, data tampering, and denial of service. |
| NVIDIA TensorRT-LLM for any platform contains a vulnerability in tensor deserialization, where an attacker could cause a heap based buffer overflow. A successful exploit of this vulnerability might lead to information disclosure, data tampering, or denial of service. |
| NVIDIA TensorRT-LLM contains a vulnerability where an attacker could cause a write-what-where condition. A successful exploit of this vulnerability might lead to data tampering, denial of service, and information disclosure. |
| NVIDIA TensorRT-LLM for Linux contains a vulnerability in the multimodal media fetching functions, where a network-accessible attacker could cause server-side request forgery. A successful exploit of this vulnerability might lead to denial of service and information disclosure. |
| NVIDIA TensorRT-LLM for Linux contains a vulnerability where an attacker could cause missing authentication for a critical function. A successful exploit of this vulnerability might lead to code execution, data tampering, and information disclosure. |
| NVIDIA TensorRT-LLM for Linux contains a vulnerability where an attacker could cause improper control of code generation. A successful exploit of this vulnerability might lead to code execution, data tampering, and information disclosure. |
| Use after free in Ozone in Google Chrome on Linux prior to 150.0.7871.125 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) |
| Use after free in Ozone in Google Chrome prior to 150.0.7871.125 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) |
| Uninitialized Use in Skia in Google Chrome prior to 150.0.7871.125 allowed a remote attacker to obtain potentially sensitive information from process memory via a crafted HTML page. (Chromium security severity: High) |
| Insufficient policy enforcement in HTML-in-Canvas in Google Chrome prior to 150.0.7871.125 allowed a remote attacker to bypass same origin policy via a crafted HTML page. (Chromium security severity: High) |
| Insufficient validation of untrusted input in Media in Google Chrome on Windows prior to 150.0.7871.125 allowed a remote attacker who had compromised the renderer process to obtain potentially sensitive information from process memory via a crafted HTML page. (Chromium security severity: High) |
| 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 Skia in Google Chrome prior to 150.0.7871.125 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) |
| Use after free in UI in Google Chrome on Linux prior to 150.0.7871.125 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) |
| NVIDIA TensorRT for contains a vulnerability where a user might cause a deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution. |
| NVIDIA TensorRT contains a vulnerability where an attacker might cause an overflow to a heap-based buffer. A successful exploit of this vulnerability might lead to code execution. |
| PraisonAI before 4.6.78 exposes the MCP HTTP-stream transport without authentication by default: the CLI --api-key option defaults to None, and the server only enforces Authorization/Bearer checks when an API key is configured. When an operator runs 'praisonai mcp serve --transport http-stream' without an API key, an unauthenticated client (no Authorization header, and no Origin header, which is also permitted) can initialize a session, enumerate the available tools (tools/list), and invoke tools (tools/call). Additionally, the dispatcher forwards tool-call arguments to handlers without validating them against the advertised inputSchema. The server binds to 127.0.0.1 by default, so remote exploitation requires the operator to bind to a network-accessible address (e.g., --host 0.0.0.0). |
| DataEase is an open source data visualization and analysis tool. Prior to 2.10.23, DataEase Redshift datasource connections can load attacker-controlled rsjdbc.ini configuration from System.getProperty("java.io.tmpdir"), setting socketFactory=org.springframework.context.support.FileSystemXmlApplicationContext so com.amazon.redshift.Driver#connect, com.amazon.redshift.Driver#getJdbcIniFile, and com.amazon.redshift.util.ObjectFactory#instantiate execute a reflection-based remote code execution chain during a normal JDBC connection through io.dataease.datasource.type.Redshift. This issue is fixed in version 2.10.23. |
