FKIE_CVE-2024-4181

Vulnerability from fkie_nvd - Published: 2024-05-16 09:15 - Updated: 2026-06-17 08:01
Severity
8.8 (High) - CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Summary
A command injection vulnerability exists in the RunGptLLM class of the llama_index library, version 0.9.47, used by the RunGpt framework from JinaAI to connect to Language Learning Models (LLMs). The vulnerability arises from the improper use of the eval function, allowing a malicious or compromised LLM hosting provider to execute arbitrary commands on the client's machine. This issue was fixed in version 0.10.13. The exploitation of this vulnerability could lead to a hosting provider gaining full control over client machines.
References
security@huntr.devhttps://github.com/run-llama/llama_index/commit/d73715eaf0642705583e7897c78b9c8dd2d3a7baPatch
security@huntr.devhttps://huntr.com/bounties/1a204520-598a-434e-b13d-0d34f2a5ddc1Exploit, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/run-llama/llama_index/commit/d73715eaf0642705583e7897c78b9c8dd2d3a7baPatch
af854a3a-2127-422b-91ae-364da2661108https://huntr.com/bounties/1a204520-598a-434e-b13d-0d34f2a5ddc1Exploit, Third Party Advisory
Impacted products
Vendor Product Version
llamaindex llamaindex *
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "run-llama/llama_index",
          "vendor": "run-llama",
          "versions": [
            {
              "lessThan": "0.10.13",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
          ]
        }
      ],
      "source": "security@huntr.dev"
    },
    {
      "affectedData": [
        {
          "cpes": [
            "cpe:2.3:a:run-llama:llama_index:*:*:*:*:*:*:*:*"
          ],
          "defaultStatus": "unknown",
          "product": "llama_index",
          "vendor": "run-llama",
          "versions": [
            {
              "status": "affected",
              "version": "0.9.47"
            }
          ]
        }
      ],
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:llamaindex:llamaindex:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "34FD9B1D-9DCA-4F40-A413-28B7CC8376E8",
              "versionEndExcluding": "0.10.13",
              "versionStartIncluding": "0.9.47",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "A command injection vulnerability exists in the RunGptLLM class of the llama_index library, version 0.9.47, used by the RunGpt framework from JinaAI to connect to Language Learning Models (LLMs). The vulnerability arises from the improper use of the eval function, allowing a malicious or compromised LLM hosting provider to execute arbitrary commands on the client\u0027s machine. This issue was fixed in version 0.10.13. The exploitation of this vulnerability could lead to a hosting provider gaining full control over client machines."
    },
    {
      "lang": "es",
      "value": "Existe una vulnerabilidad de inyecci\u00f3n de comandos en la clase RunGptLLM de la librer\u00eda llama_index, versi\u00f3n 0.9.47, utilizada por el marco RunGpt de JinaAI para conectarse a los modelos de aprendizaje de idiomas (LLM). La vulnerabilidad surge del uso inadecuado de la funci\u00f3n de evaluaci\u00f3n, lo que permite que un proveedor de alojamiento LLM malicioso o comprometido ejecute comandos arbitrarios en la m\u00e1quina del cliente. Este problema se solucion\u00f3 en la versi\u00f3n 0.10.13. La explotaci\u00f3n de esta vulnerabilidad podr\u00eda llevar a que un proveedor de alojamiento obtenga control total sobre las m\u00e1quinas cliente."
    }
  ],
  "id": "CVE-2024-4181",
  "lastModified": "2026-06-17T08:01:16.973",
  "metrics": {
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.9,
        "source": "security@huntr.dev",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2024-4181",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2024-05-16T16:10:22.479833Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2024-05-16T09:15:15.553",
  "references": [
    {
      "source": "security@huntr.dev",
      "tags": [
        "Patch"
      ],
      "url": "https://github.com/run-llama/llama_index/commit/d73715eaf0642705583e7897c78b9c8dd2d3a7ba"
    },
    {
      "source": "security@huntr.dev",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://huntr.com/bounties/1a204520-598a-434e-b13d-0d34f2a5ddc1"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Patch"
      ],
      "url": "https://github.com/run-llama/llama_index/commit/d73715eaf0642705583e7897c78b9c8dd2d3a7ba"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://huntr.com/bounties/1a204520-598a-434e-b13d-0d34f2a5ddc1"
    }
  ],
  "sourceIdentifier": "security@huntr.dev",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-94"
        }
      ],
      "source": "security@huntr.dev",
      "type": "Secondary"
    }
  ]
}


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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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Nomenclature

  • 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.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


Detection rules are retrieved from Rulezet.