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Active filters (1):Package: pkg:github/databuff

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DataBuff ai-apm-web versions up to 0.1.10 contain a hard-coded default credentials vulnerability. This flaw allows unauthenticated attackers to gain administrator access by using the built-in admin/Databuff@123 credentials. Attackers can authenticate via a POST request to /webapi/api/v1/auth/login and obtain an administrator token, enabling access to all protected API routes.

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DataBuff ai-apm-web through 0.1.10 contains an authentication bypass vulnerability that allows unauthenticated attackers to forge admin session tokens by using the hardcoded HMAC secret in JwtTokenService. Attackers can sign a payload of admin and a future expiry with the default dev-secret to gain full administrative access to protected /webapi routes, including the Doris SQL query API.

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