FKIE_CVE-2021-25175
Vulnerability from fkie_nvd - Published: 2021-01-18 08:15 - Updated: 2026-06-17 03:41
Severity
Summary
An issue was discovered in Open Design Alliance Drawings SDK before 2021.11. A Type Conversion issue exists when rendering malformed .DXF and .DWG files. This can allow attackers to cause a crash, potentially enabling a denial of service attack (Crash, Exit, or Restart).
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| opendesign | drawings_software_development_kit | * | |
| siemens | comos | * | |
| siemens | jt2go | * | |
| siemens | teamcenter_visualization | * |
{
"affected": [
{
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"vendor": "n/a",
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"status": "affected",
"version": "n/a"
}
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}
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"source": "cve@mitre.org"
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"value": "An issue was discovered in Open Design Alliance Drawings SDK before 2021.11. A Type Conversion issue exists when rendering malformed .DXF and .DWG files. This can allow attackers to cause a crash, potentially enabling a denial of service attack (Crash, Exit, or Restart)."
},
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"value": "Se detect\u00f3 un problema en el SDK de dibujos de Open Design Alliance anterior a la versi\u00f3n 2021.11. Existe un problema de conversi\u00f3n de tipos al renderizar archivos .DXF y .DWG malformados. Esto puede permitir que los atacantes provoquen un fallo, permitiendo potencialmente un ataque de denegaci\u00f3n de servicio (Bloqueo, Salida o Reinicio)"
}
],
"id": "CVE-2021-25175",
"lastModified": "2026-06-17T03:41:35.760",
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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 |
|---|
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.
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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.