GSD-2020-6249
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
The use of an admin backend report within SAP Master Data Governance, versions - S4CORE 101, S4FND 102, 103, 104, SAP_BS_FND 748; allows an attacker to execute crafted database queries, exposing the backend database, leading to SQL Injection.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-6249",
"description": "The use of an admin backend report within SAP Master Data Governance, versions - S4CORE 101, S4FND 102, 103, 104, SAP_BS_FND 748; allows an attacker to execute crafted database queries, exposing the backend database, leading to SQL Injection.",
"id": "GSD-2020-6249"
},
"gsd": {
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"remediation": "unknown",
"reportConfidence": "confirmed",
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},
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"id": "GSD-2020-6249",
"modified": "2023-12-13T01:21:55.262350Z",
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"scope": "UNCHANGED",
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},
"lastModifiedDate": "2020-05-15T17:02Z",
"publishedDate": "2020-05-12T18:15Z"
}
}
}
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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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- Confirmed: The vulnerability has been validated from an analyst's perspective.
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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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