GSD-2024-30665
Vulnerability from gsd - Updated: 2024-04-03 05:02Details
An OS command injection vulnerability has been discovered in ROS (Robot Operating System) Melodic Morenia in ROS_VERSION 1 and ROS_PYTHON_VERSION 3. This vulnerability primarily affects the command processing or system call components in ROS, making them susceptible to manipulation by malicious entities. Through this, unauthorized commands can be executed, leading to remote code execution (RCE), data theft, and malicious activities. The affected components include External Command Execution Modules, System Call Handlers, and Interface Scripts.
Aliases
{
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2024-30665"
],
"details": "An OS command injection vulnerability has been discovered in ROS (Robot Operating System) Melodic Morenia in ROS_VERSION 1 and ROS_PYTHON_VERSION 3. This vulnerability primarily affects the command processing or system call components in ROS, making them susceptible to manipulation by malicious entities. Through this, unauthorized commands can be executed, leading to remote code execution (RCE), data theft, and malicious activities. The affected components include External Command Execution Modules, System Call Handlers, and Interface Scripts.",
"id": "GSD-2024-30665",
"modified": "2024-04-03T05:02:29.317291Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "cve@mitre.org",
"ID": "CVE-2024-30665",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
"version_data": [
{
"version_value": "n/a"
}
]
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"vendor_name": "n/a"
}
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"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "** DISPUTED ** An OS command injection vulnerability has been discovered in ROS (Robot Operating System) Melodic Morenia in ROS_VERSION 1 and ROS_PYTHON_VERSION 3. This vulnerability primarily affects the command processing or system call components in ROS, making them susceptible to manipulation by malicious entities. Through this, unauthorized commands can be executed, leading to remote code execution (RCE), data theft, and malicious activities. The affected components include External Command Execution Modules, System Call Handlers, and Interface Scripts. 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-2024-30665",
"refsource": "MISC",
"url": "https://github.com/yashpatelphd/CVE-2024-30665"
}
]
}
},
"nvd.nist.gov": {
"cve": {
"descriptions": [
{
"lang": "en",
"value": "An OS command injection vulnerability has been discovered in ROS (Robot Operating System) Melodic Morenia in ROS_VERSION 1 and ROS_PYTHON_VERSION 3. This vulnerability primarily affects the command processing or system call components in ROS, making them susceptible to manipulation by malicious entities. Through this, unauthorized commands can be executed, leading to remote code execution (RCE), data theft, and malicious activities. The affected components include External Command Execution Modules, System Call Handlers, and Interface Scripts. 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 inyecci\u00f3n de comandos del sistema operativo en ROS (Robot Operating System) Melodic Morenia en ROS_VERSION 1 y ROS_PYTHON_VERSION 3. Esta vulnerabilidad afecta principalmente a los componentes de procesamiento de comandos o llamadas al sistema en ROS, haci\u00e9ndolos susceptibles a la manipulaci\u00f3n por parte de entidades maliciosas. A trav\u00e9s de esto, se pueden ejecutar comandos no autorizados, lo que lleva a la ejecuci\u00f3n remota de c\u00f3digo (RCE), el robo de datos y actividades maliciosas. Los componentes afectados incluyen m\u00f3dulos de ejecuci\u00f3n de comandos externos, controladores de llamadas del sistema y scripts de interfaz."
}
],
"id": "CVE-2024-30665",
"lastModified": "2024-04-17T01:15:08.010",
"metrics": {},
"published": "2024-04-08T07:15:09.643",
"references": [
{
"source": "cve@mitre.org",
"url": "https://github.com/yashpatelphd/CVE-2024-30665"
}
],
"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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