FKIE_CVE-2023-37274

Vulnerability from fkie_nvd - Published: 2023-07-13 23:15 - Updated: 2024-11-21 08:11
Severity ?
7.5 (High) - CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:C/C:H/I:H/A:H
7.8 (High) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Summary
Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. When Auto-GPT is executed directly on the host system via the provided run.sh or run.bat files, custom Python code execution is sandboxed using a temporary dedicated docker container which should not have access to any files outside of the Auto-GPT workspace directory. Before v0.4.3, the `execute_python_code` command (introduced in v0.4.1) does not sanitize the `basename` arg before writing LLM-supplied code to a file with an LLM-supplied name. This allows for a path traversal attack that can overwrite any .py file outside the workspace directory by specifying a `basename` such as `../../../main.py`. This can further be abused to achieve arbitrary code execution on the host running Auto-GPT by e.g. overwriting autogpt/main.py which will be executed outside of the docker environment meant to sandbox custom python code execution the next time Auto-GPT is started. The issue has been patched in version 0.4.3. As a workaround, the risk introduced by this vulnerability can be remediated by running Auto-GPT in a virtual machine, or another environment in which damage to files or corruption of the program is not a critical problem.
References
security-advisories@github.comhttps://github.com/Significant-Gravitas/Auto-GPT/pull/4756Patch, Third Party Advisory
security-advisories@github.comhttps://github.com/Significant-Gravitas/Auto-GPT/security/advisories/GHSA-5h38-mgp9-rj5fPatch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/Significant-Gravitas/Auto-GPT/pull/4756Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/Significant-Gravitas/Auto-GPT/security/advisories/GHSA-5h38-mgp9-rj5fPatch, Third Party Advisory
Impacted products
Vendor Product Version
agpt auto-gpt *
To clipboard 

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    {
      "nodes": [
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          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:agpt:auto-gpt:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "10E8D9E9-E73C-4B20-989E-1D432F7ED3BB",
              "versionEndExcluding": "0.4.3",
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  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. When Auto-GPT is executed directly on the host system via the provided run.sh or run.bat files, custom Python code execution is sandboxed using a temporary dedicated docker container which should not have access to any files outside of the Auto-GPT workspace directory.\nBefore v0.4.3, the `execute_python_code` command (introduced in v0.4.1) does not sanitize the `basename` arg before writing LLM-supplied code to a file with an LLM-supplied name. This allows for a path traversal attack that can overwrite any .py file outside the workspace directory by specifying a `basename` such as `../../../main.py`. This can further be abused to achieve arbitrary code execution on the host running Auto-GPT by e.g. overwriting autogpt/main.py which will be executed outside of the docker environment meant to sandbox custom python code execution the next time Auto-GPT is started. The issue has been patched in version 0.4.3. As a workaround, the risk introduced by this vulnerability can be remediated by running Auto-GPT in a virtual machine, or another environment in which damage to files or corruption of the program is not a critical problem."
    }
  ],
  "id": "CVE-2023-37274",
  "lastModified": "2024-11-21T08:11:22.300",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "HIGH",
          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
          "baseScore": 7.5,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "CHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:C/C:H/I:H/A:H",
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          "userInteraction": "NONE",
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        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
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  "published": "2023-07-13T23:15:10.820",
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  "vulnStatus": "Modified",
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}


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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



Detection rules are retrieved from Rulezet.