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LangFlow vulnerability CVE-2026-105740 allows unauthenticated access

By PulseAugur Editorial · [1 sources] ·

A critical security vulnerability, CVE-2026-105740, has been identified in LangFlow, an open-source tool for building and deploying large language model applications. The vulnerability stems from an auto-login feature that, when enabled, allows attackers to bypass authentication and gain access to sensitive configurations and data. Researchers from Previdian observed attackers exploiting this by first attempting the auto-login endpoint and, if unsuccessful, resorting to common default credentials. The recommended mitigation involves disabling the auto-login feature and ensuring unique, strong passwords are used for all accounts. AI

IMPACT Exposes sensitive configurations and data in LangFlow deployments, potentially impacting users of LLM applications built with the tool.

RANK_REASON Security vulnerability disclosure for an open-source tool.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LangFlow vulnerability CVE-2026-105740 allows unauthenticated access

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23 / 100
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Security vulnerability disclosure for an open-source tool.
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High
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · jeffrey ·

    Auto-login plus CVE-2026-105740: the configuration that removes the only barrier in Langflow

    <h1> Auto-login plus CVE-2026-105740: the configuration that removes the only barrier in Langflow </h1> <p>CVE-2026-105740 is an authenticated flaw, which puts the login path at the centre of its risk. The attackers recorded by Previdian tested that path first, and their order of…

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