GSD-2024-30703

Vulnerability from gsd - Updated: 2024-04-03 05:02
Details
An arbitrary file upload vulnerability has been discovered in ROS2 (Robot Operating System 2) Galactic Geochelone ROS_VERSION 2 and ROS_PYTHON_VERSION 3, allows attackers to execute arbitrary code, cause a denial of service (DoS), and obtain sensitive information via a crafted payload to the file upload mechanism of the ROS2 system, including the server’s functionality for handling file uploads and the associated validation processes.
Aliases

{
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2024-30703"
      ],
      "details": "An arbitrary file upload vulnerability has been discovered in ROS2 (Robot Operating System 2) Galactic Geochelone ROS_VERSION 2 and ROS_PYTHON_VERSION 3, allows attackers to execute arbitrary code, cause a denial of service (DoS), and obtain sensitive information via a crafted payload to the file upload mechanism of the ROS2 system, including the server\u2019s functionality for handling file uploads and the associated validation processes.",
      "id": "GSD-2024-30703",
      "modified": "2024-04-03T05:02:29.223758Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "cve@mitre.org",
        "ID": "CVE-2024-30703",
        "STATE": "PUBLIC"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "n/a",
                    "version": {
                      "version_data": [
                        {
                          "version_value": "n/a"
                        }
                      ]
                    }
                  }
                ]
              },
              "vendor_name": "n/a"
            }
          ]
        }
      },
      "data_format": "MITRE",
      "data_type": "CVE",
      "data_version": "4.0",
      "description": {
        "description_data": [
          {
            "lang": "eng",
            "value": "** DISPUTED ** An arbitrary file upload vulnerability has been discovered in ROS2 (Robot Operating System 2) Galactic Geochelone ROS_VERSION 2 and ROS_PYTHON_VERSION 3, allows attackers to execute arbitrary code, cause a denial of service (DoS), and obtain sensitive information via a crafted payload to the file upload mechanism of the ROS2 system, including the server\u2019s functionality for handling file uploads and the associated validation processes. NOTE: this is disputed by multiple third parties who believe there was not reasonable evidence to determine the existence of a vulnerability."
          }
        ]
      },
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "lang": "eng",
                "value": "n/a"
              }
            ]
          }
        ]
      },
      "references": {
        "reference_data": [
          {
            "name": "https://github.com/yashpatelphd/CVE-2024-30703",
            "refsource": "MISC",
            "url": "https://github.com/yashpatelphd/CVE-2024-30703"
          }
        ]
      }
    },
    "nvd.nist.gov": {
      "cve": {
        "descriptions": [
          {
            "lang": "en",
            "value": "An arbitrary file upload vulnerability has been discovered in ROS2 (Robot Operating System 2) Galactic Geochelone ROS_VERSION 2 and ROS_PYTHON_VERSION 3, allows attackers to execute arbitrary code, cause a denial of service (DoS), and obtain sensitive information via a crafted payload to the file upload mechanism of the ROS2 system, including the server\u2019s functionality for handling file uploads and the associated validation processes. NOTE: this is disputed by multiple third parties who believe there was not reasonable evidence to determine the existence of a vulnerability."
          },
          {
            "lang": "es",
            "value": "Se ha descubierto una vulnerabilidad de carga de archivos arbitrarios en ROS2 (Robot Operating System 2) Galactic Geochelone ROS_VERSION 2 y ROS_PYTHON_VERSION 3, que permite a los atacantes ejecutar c\u00f3digo arbitrario, provocar una denegaci\u00f3n de servicio (DoS) y obtener informaci\u00f3n confidencial a trav\u00e9s de una carga \u00fatil manipulada para el Mecanismo de carga de archivos del sistema ROS2, incluida la funcionalidad del servidor para manejar la carga de archivos y los procesos de validaci\u00f3n asociados."
          }
        ],
        "id": "CVE-2024-30703",
        "lastModified": "2024-04-17T01:15:09.570",
        "metrics": {},
        "published": "2024-04-09T18:15:09.743",
        "references": [
          {
            "source": "cve@mitre.org",
            "url": "https://github.com/yashpatelphd/CVE-2024-30703"
          }
        ],
        "sourceIdentifier": "cve@mitre.org",
        "vulnStatus": "Awaiting Analysis"
      }
    }
  }
}



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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.
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  • 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.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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