GSD-2022-48198
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
The ntpd_driver component before 1.3.0 and 2.x before 2.2.0 for Robot Operating System (ROS) allows attackers, who control the source code of a different node in the same ROS application, to change a robot's behavior. This occurs because a topic name depends on the attacker-controlled time_ref_topic parameter.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-48198",
"description": "The ntpd_driver component before 1.3.0 and 2.x before 2.2.0 for Robot Operating System (ROS) allows attackers, who control the source code of a different node in the same ROS application, to change a robot\u0027s behavior. This occurs because a topic name depends on the attacker-controlled time_ref_topic parameter.",
"id": "GSD-2022-48198"
},
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"id": "GSD-2022-48198",
"modified": "2023-12-13T01:19:26.145113Z",
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"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
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"exploitabilityScore": 3.9,
"impactScore": 5.9
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},
"lastModifiedDate": "2023-01-09T15:27Z",
"publishedDate": "2023-01-01T07:15Z"
}
}
}
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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
| Author | Source | Type | Date | Other |
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Nomenclature
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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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