GSD-2023-29461
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
An arbitrary code execution vulnerability contained in Rockwell Automation's Arena Simulation software was reported that could potentially allow a malicious user to commit unauthorized arbitrary code to the software by using a memory buffer overflow in the heap.
potentially resulting in a complete loss of confidentiality, integrity, and availability.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-29461",
"id": "GSD-2023-29461"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"details": "An arbitrary code execution vulnerability contained in Rockwell Automation\u0027s Arena Simulation software was reported that could potentially allow a malicious user to commit unauthorized arbitrary code to the software by using a memory buffer overflow in the heap. \n\n potentially\u00a0resulting in a complete loss of confidentiality, integrity, and availability.\n",
"id": "GSD-2023-29461",
"modified": "2023-12-13T01:20:56.719072Z",
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"product_name": "Arena Simulation",
"version": {
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"version_affected": "\u003c=",
"version_name": "16.00",
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"value": "This vulnerability was reported to Rockwell Automation by Simon Janz working with Trend Micro\u0027s Zero Day Initiative."
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"baseScore": 7.8,
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"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
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"name": "https://rockwellautomation.custhelp.com/app/answers/answer_view/a_id/1139391",
"refsource": "MISC",
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"value": "\n\n\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003eCustomers using the affected software are encouraged to apply the risk mitigations, if possible.\u0026nbsp;\u0026nbsp;\u003cbr\u003e\u003c/span\u003e\u003cspan style=\"background-color: var(--wht);\"\u003e- Upgrade to \u003c/span\u003e\u003cu\u003e16.20.01\u003c/u\u003e\u003cspan style=\"background-color: var(--wht);\"\u003e\u0026nbsp;which has been patched to mitigate this issue.\u003c/span\u003e"
}
],
"value": "\nCustomers using the affected software are encouraged to apply the risk mitigations, if possible.\u00a0\u00a0\n- Upgrade to 16.20.01\u00a0which has been patched to mitigate this issue."
}
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"source": {
"discovery": "EXTERNAL"
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"lastModifiedDate": "2023-05-16T18:30Z",
"publishedDate": "2023-05-09T14:15Z"
}
}
}
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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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