flowise-ui@3.0.13

<!-- markdownlint-disable MD030 -->

  • latest version

    3.1.2

  • latest non vulnerable version

  • first published

    3 years ago

  • latest version published

    1 months ago

  • licenses detected

  • Direct Vulnerabilities

    Known vulnerabilities in the flowise-ui package. This does not include vulnerabilities belonging to this package’s dependencies.

    Fix vulnerabilities automatically

    Snyk's AI Trust Platform automatically finds the best upgrade path and integrates with your development workflows. Secure your code at zero cost.

    Fix for free
    VulnerabilityVulnerable Version
    • M
    Use of a Broken or Risky Cryptographic Algorithm

    flowise-ui is a

    Affected versions of this package are vulnerable to Use of a Broken or Risky Cryptographic Algorithm in the process that handles JWT secret assignment. An attacker can gain unauthorized access and impersonate any user, including administrators, by crafting valid JWTs using publicly known default secrets. This is only exploitable if the environment variables for JWT secrets are not explicitly set and the application is deployed with default values.

    How to fix Use of a Broken or Risky Cryptographic Algorithm?

    Upgrade flowise-ui to version 3.1.0 or higher.

    <3.1.0
    • C
    Arbitrary Code Injection

    flowise-ui is a

    Affected versions of this package are vulnerable to Arbitrary Code Injection via the customReadCSVFunc process. An attacker can execute arbitrary code on the server by supplying malicious input that is interpolated and executed without proper sanitization. This is only exploitable if the attacker is authenticated or can bypass authentication by providing the "x-request-from: internal" header when FLOWISE_USERNAME and FLOWISE_PASSWORD are not set.

    How to fix Arbitrary Code Injection?

    Upgrade flowise-ui to version 3.1.0 or higher.

    <3.1.0
    • C
    Incomplete List of Disallowed Inputs

    flowise-ui is a

    Affected versions of this package are vulnerable to Incomplete List of Disallowed Inputs in the run method of the Airtable_Agents class, which evaluates LLM-generated Python scripts in a non-sandboxed environment. An attacker can execute arbitrary code on the server by crafting malicious prompts or responses that bypass input validation, leading to the execution of system commands with the privileges of the server process. This can be achieved by sending specially crafted requests to chatflows using the Airtable Agent node, or by configuring a chatflow to use an attacker-controlled server or Airtable table.

    How to fix Incomplete List of Disallowed Inputs?

    Upgrade flowise-ui to version 3.1.0 or higher.

    <3.1.0