CVE-2026-77932

DB-GPT through 0.8.2 contains a hardcoded credentials vulnerability in its default docker-compose.yml that sets a static MYSQL_ROOT_PASSWORD and publishes port 3306 on all interfaces. Attackers reaching port 3306 or the shared dbgptnet network can authenticate as root@% to gain full database access including FILE and SUPER privileges.

DB-GPT v0.8.0 sandbox API silently falls back to LocalRuntime and executes code on host.

In DB-GPT 0.7.5 and 0.8.0, a skill uploaded through the real /api/v1/skills/upload route can later be executed through the real /api/v1/chat/react-agent flow. This allows a previously uploaded, potentially malicious skill to be run in the agent context.

DB-GPT v0.7.5 and v0.8.0 contains directory traversal in python_file_upload (packages/dbgpt-app/src/dbgpt_app/openapi/api_v1/python_upload_api.py:42). A remote attacker can use the validated exploitation path to write files outside the intended workspace or storage boundary.

DB-GPT 0.8.0 contains directory traversal in skill_upload (packages/dbgpt-app/src/dbgpt_app/openapi/api_v1/agentic_data_api.py:40). A remote attacker can use the validated exploitation path to write files outside the intended workspace or storage boundary.

DB-GPT builds the destination path for an uploaded skill from the multipart filename without constraining it to the upload directory. The skill_upload function does not canonicalize the path or check that it remains under the upload root, allowing writes outside it. The endpoint is reachable without authentication, enabling a remote attacker to write arbitrary files and achieve code execution.

DB-GPT v0.8.1 contains an unauthenticated path traversal vulnerability that allows remote attackers to write arbitrary files to any location on the server by injecting directory traversal sequences into the user_id HTTP header of the Python file-upload endpoint. Attackers can send a crafted multipart upload request with a traversal-poisoned user_id header to escape the intended upload directory and write attacker-controlled content to locations such as Python startup hooks, cron directories, or agent scripts, resulting in remote code execution.