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    CVE-2023-37273

    Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. Running Auto-GPT version prior to 0.4.3 by cloning the git repo and executing `docker compose run auto-gpt` in the repo root uses a different docker-compose.yml file from the one suggested in the official docker set up instructions. The docker-compose.yml file located in the repo root mounts itself into the docker container without write protection. This means that if malicious custom python code is executed via the `execute_python_file` and `execute_python_code` commands, it can overwrite the docker-compose.yml file and abuse it to gain control of the host system the next time Auto-GPT is started. The issue has been patched in version 0.4.3.

    Published:Jul 13, 2023
    Last Modified:Feb 25, 2026
    EPS:Jul 13, 2023
    EPSS Score:0.00047
    CVSS Score:8.1

    Affected Products

    Vendor
    Agpt
    Product
    Autogpt Classic

    Exploits

    https://github.com/gdesantis01/instructions-summarizing

    Related CVEs

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    CVE-2024-1880 (CVSS 7.8) — An OS command injection vulnerability exists in the MacOS Text-To-Speech class MacOSTTS of the significant-gra…
    CVE-2024-1881 (CVSS 9.8) — AutoGPT, a component of significant-gravitas/autogpt, is vulnerable to an improper neutralization of special e…
    CVE-2024-1879 (CVSS 8.8) — A Cross-Site Request Forgery (CSRF) vulnerability in significant-gravitas/autogpt version v0.5.0 allows attack…
    CVE-2023-37275 (CVSS 3.1) — Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. T…
    CVE-2023-37274 (CVSS 7.5) — Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. W…

    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