GSD-2021-41160
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
FreeRDP is a free implementation of the Remote Desktop Protocol (RDP), released under the Apache license. In affected versions a malicious server might trigger out of bound writes in a connected client. Connections using GDI or SurfaceCommands to send graphics updates to the client might send `0` width/height or out of bound rectangles to trigger out of bound writes. With `0` width or heigth the memory allocation will be `0` but the missing bounds checks allow writing to the pointer at this (not allocated) region. This issue has been patched in FreeRDP 2.4.1.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-41160",
"description": "FreeRDP is a free implementation of the Remote Desktop Protocol (RDP), released under the Apache license. In affected versions a malicious server might trigger out of bound writes in a connected client. Connections using GDI or SurfaceCommands to send graphics updates to the client might send `0` width/height or out of bound rectangles to trigger out of bound writes. With `0` width or heigth the memory allocation will be `0` but the missing bounds checks allow writing to the pointer at this (not allocated) region. This issue has been patched in FreeRDP 2.4.1.",
"id": "GSD-2021-41160",
"references": [
"https://www.suse.com/security/cve/CVE-2021-41160.html",
"https://access.redhat.com/errata/RHSA-2021:4623",
"https://access.redhat.com/errata/RHSA-2021:4622",
"https://access.redhat.com/errata/RHSA-2021:4621",
"https://access.redhat.com/errata/RHSA-2021:4620",
"https://access.redhat.com/errata/RHSA-2021:4619",
"https://ubuntu.com/security/CVE-2021-41160",
"https://advisories.mageia.org/CVE-2021-41160.html",
"https://security.archlinux.org/CVE-2021-41160",
"https://linux.oracle.com/cve/CVE-2021-41160.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"id": "GSD-2021-41160",
"modified": "2023-12-13T01:23:27.119614Z",
"schema_version": "1.4.0"
}
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"affects": {
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}
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},
"lastModifiedDate": "2023-11-17T19:15Z",
"publishedDate": "2021-10-21T19:15Z"
}
}
}
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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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