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Langflow vulnerability CVE-2026-105740 allows sensitive data exposure

By PulseAugur Editorial · [1 sources] ·

A security vulnerability, CVE-2026-105740, has been identified in Langflow, an open-source tool for building LLM applications. Exploitation of this vulnerability involves a two-request process where an attacker first writes malicious configuration data and then fetches it. This attack can lead to the exposure of sensitive environment variables like LANGFLOW_SECRET_KEY and LANGFLOW_SUPERUSER_PASSWORD, potentially granting attackers access to model provider keys and internal service credentials. Security researchers have observed automated scanning and exploitation attempts, with a significant number of Langflow deployments identified, though confirmed compromises are not yet established. Users are advised to upgrade to version 1.9.0 or later, disable auto-login, and rotate any exposed secrets. AI

IMPACT Exposes sensitive credentials in LLM development tools, potentially impacting AI model security and deployment.

RANK_REASON Security advisory for a specific 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 sensitive data exposure

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18 / 100
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Security advisory for a specific open-source tool.
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product, safety
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High
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Breaking (< 6h)
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COVERAGE [1]

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

    Detecting exploitation of CVE-2026-105740 in Langflow logs

    <h1> Detecting exploitation of CVE-2026-105740 in Langflow logs </h1> <p>The exploit for CVE-2026-105740 leaves more traces than a typical command injection, because it spans two requests and writes configuration in between. A defender with request logs can look for the pattern.<…

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