GSD-2023-3864
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Blind SQL injection in a service running in Snow Software license manager from version 8.0.0 up to and including 9.30.1 on Windows allows a logged in user with high privileges to inject SQL commands via the web portal.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-3864",
"id": "GSD-2023-3864"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
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"modified": "2023-12-13T01:20:55.089479Z",
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{
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"product_name": "SLM",
"version": {
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}
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"baseScore": 7.2,
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}
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"name": "https://community.snowsoftware.com/s/feed/0D56M00009gUexuSAC",
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"url": "https://community.snowsoftware.com/s/feed/0D56M00009gUexuSAC"
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},
"solution": [
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"supportingMedia": [
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"base64": false,
"type": "text/html",
"value": "Upgrade to version 9.30.2 or if running 9.27.0 apply the hotfix 9.27.1"
}
],
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}
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"source": {
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"attackVector": "NETWORK",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
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"impactScore": 5.9
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},
"lastModifiedDate": "2023-08-18T14:16Z",
"publishedDate": "2023-08-11T12:15Z"
}
}
}
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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 |
|---|
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.
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- 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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