github - ghsa-m2gm-4vg9-pcc4

ghsa-m2gm-4vg9-pcc4

Vulnerability from github

Published

2025-03-20 12:32

Modified

2025-03-20 12:32

Severity ?

8.8 (High) - CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Details

In the manim plugin of binary-husky/gpt_academic, versions prior to the fix, a vulnerability exists due to improper handling of user-provided prompts. The root cause is the execution of untrusted code generated by the LLM without a proper sandbox. This allows an attacker to perform remote code execution (RCE) on the app backend server by injecting malicious code through the prompt.

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{
  "affected": [],
  "aliases": [
    "CVE-2024-10954"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-77"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-03-20T10:15:22Z",
    "severity": "HIGH"
  },
  "details": "In the `manim` plugin of binary-husky/gpt_academic, versions prior to the fix, a vulnerability exists due to improper handling of user-provided prompts. The root cause is the execution of untrusted code generated by the LLM without a proper sandbox. This allows an attacker to perform remote code execution (RCE) on the app backend server by injecting malicious code through the prompt.",
  "id": "GHSA-m2gm-4vg9-pcc4",
  "modified": "2025-03-20T12:32:41Z",
  "published": "2025-03-20T12:32:41Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-10954"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/72d034e3-6ca2-495d-98a7-ac9565588c09"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2024-10954 (GCVE-0-2024-10954)

Vulnerability from cvelistv5

Published

2025-03-20 10:10

Modified

2025-03-20 18:16

Severity ?

8.8 (High) - CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

CWE

CWE-77 - Improper Neutralization of Special Elements used in a Command ('Command Injection')

Summary

In the `manim` plugin of binary-husky/gpt_academic, versions prior to the fix, a vulnerability exists due to improper handling of user-provided prompts. The root cause is the execution of untrusted code generated by the LLM without a proper sandbox. This allows an attacker to perform remote code execution (RCE) on the app backend server by injecting malicious code through the prompt.

References

►

URL

Tags

https://huntr.com/bounties/72d034e3-6ca2-495d-98a7-ac9565588c09

Impacted products

	Vendor	Product	Version
	binary-husky	binary-husky/gpt_academic	Version: unspecified <

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  "containers": {
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        "metrics": [
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              "content": {
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                  },
                  {
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                  },
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                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-03-20T17:49:19.475975Z",
                "version": "2.0.3"
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    "cna": {
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        {
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          "vendor": "binary-husky",
          "versions": [
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        }
      ],
      "metrics": [
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          "cvssV3_0": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
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      ],
      "problemTypes": [
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        "discovery": "EXTERNAL"
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      "title": "Prompt Injection Leading to RCE in binary-husky/gpt_academic Plugin `manim`"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
    "assignerShortName": "@huntr_ai",
    "cveId": "CVE-2024-10954",
    "datePublished": "2025-03-20T10:10:46.950Z",
    "dateReserved": "2024-11-06T21:38:38.201Z",
    "dateUpdated": "2025-03-20T18:16:49.543Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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