PYSEC-2022-229

    Dashboard / Vulnerabilities / PYSEC-2022-229

    PYSEC-2022-229

    Published: 17 Mar 2022Last Modified: 8 Nov 2023

    Summary:

    Details: `gradio` is an open source framework for building interactive machine learning models and demos. Prior to version 2.8.11, `gradio` suffers from Improper Neutralization of Formula Elements in a CSV File. The `gradio` library has a flagging functionality which saves input/output data into a CSV file on the developer's computer. This can allow a user to save arbitrary text into the CSV file, such as commands. If a program like MS Excel opens such a file, then it automatically runs these commands, which could lead to arbitrary commands running on the user's computer. The problem has been patched as of `2.8.11`, which escapes the saved csv with single quotes. As a workaround, avoid opening csv files generated by `gradio` with Excel or similar spreadsheet programs.

    References: https://github.com/gradio-app/gradio/security/advisories/GHSA-f8xq-q7px-wg8c, https://github.com/gradio-app/gradio/pull/817, https://github.com/gradio-app/gradio/commit/80fea89117358ee105973453fdc402398ae20239

    Affected packages

    Package

    Name: gradio

    Purl: pkg:pypi/gradio

    Affected ranges

    Type: GIT

    Events:

    Introduced- 0
    Fixed -80fea89117358ee105973453fdc402398ae20239

    Affected versions

    0.1.0
    0.1.1
    0.1.2
    0.1.3
    0.1.4
    0.1.5
    0.1.6
    0.1.7
    0.1.8
    0.1.9

    Common Vulnerability Scoring System

    Attack Vector
    Network
    Adjacent
    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
    None
    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
    High
    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High
    PYSEC-2022-229 | CVE-DB