GSD-2024-30735
Vulnerability from gsd - Updated: 2024-04-03 05:02Details
An arbitrary file upload vulnerability has been discovered in ROS Kinetic Kame in ROS_VERSION 1 and ROS_PYTHON_VERSION 3, allows attackers to execute arbitrary code, cause a denial of service (DoS), and obtain sensitive information via crafted payload to the file upload mechanism of the ROS 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-2024-30735"
],
"details": "An arbitrary file upload vulnerability has been discovered in ROS Kinetic Kame in ROS_VERSION 1 and ROS_PYTHON_VERSION 3, allows attackers to execute arbitrary code, cause a denial of service (DoS), and obtain sensitive information via crafted payload to the file upload mechanism of the ROS system, including the server\u2019s functionality for handling file uploads and the associated validation processes.",
"id": "GSD-2024-30735",
"modified": "2024-04-03T05:02:29.172233Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"CVE_data_meta": {
"ASSIGNER": "cve@mitre.org",
"ID": "CVE-2024-30735",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
"version_data": [
{
"version_value": "n/a"
}
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"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 ROS Kinetic Kame in ROS_VERSION 1 and ROS_PYTHON_VERSION 3, allows attackers to execute arbitrary code, cause a denial of service (DoS), and obtain sensitive information via crafted payload to the file upload mechanism of the ROS 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-2024-30735",
"refsource": "MISC",
"url": "https://github.com/yashpatelphd/CVE-2024-30735"
}
]
}
},
"nvd.nist.gov": {
"cve": {
"descriptions": [
{
"lang": "en",
"value": "An arbitrary file upload vulnerability has been discovered in ROS Kinetic Kame in ROS_VERSION 1 and ROS_PYTHON_VERSION 3, allows attackers to execute arbitrary code, cause a denial of service (DoS), and obtain sensitive information via crafted payload to the file upload mechanism of the ROS 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 arbitraria en ROS Kinetic Kame en ROS_VERSION 1 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 un payload manipulado para el mecanismo de carga de archivos de ROS. sistema, incluida la funcionalidad del servidor para manejar la carga de archivos y los procesos de validaci\u00f3n asociados."
}
],
"id": "CVE-2024-30735",
"lastModified": "2024-04-17T02:15:12.000",
"metrics": {},
"published": "2024-04-10T05:15:50.040",
"references": [
{
"source": "cve@mitre.org",
"url": "https://github.com/yashpatelphd/CVE-2024-30735"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Awaiting Analysis"
}
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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
| Author | Source | Type | Date | Other |
|---|
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.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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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