GSD-2021-40129
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
A vulnerability in the configuration dashboard of Cisco Common Services Platform Collector (CSPC) could allow an authenticated, remote attacker to submit a SQL query through the CSPC configuration dashboard. This vulnerability is due to insufficient input validation of uploaded files. An attacker could exploit this vulnerability by uploading a file containing a SQL query to the configuration dashboard. A successful exploit could allow the attacker to read restricted information from the CSPC SQL database.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-40129",
"description": "A vulnerability in the configuration dashboard of Cisco Common Services Platform Collector (CSPC) could allow an authenticated, remote attacker to submit a SQL query through the CSPC configuration dashboard. This vulnerability is due to insufficient input validation of uploaded files. An attacker could exploit this vulnerability by uploading a file containing a SQL query to the configuration dashboard. A successful exploit could allow the attacker to read restricted information from the CSPC SQL database.",
"id": "GSD-2021-40129"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"details": "A vulnerability in the configuration dashboard of Cisco Common Services Platform Collector (CSPC) could allow an authenticated, remote attacker to submit a SQL query through the CSPC configuration dashboard. This vulnerability is due to insufficient input validation of uploaded files. An attacker could exploit this vulnerability by uploading a file containing a SQL query to the configuration dashboard. A successful exploit could allow the attacker to read restricted information from the CSPC SQL database.",
"id": "GSD-2021-40129",
"modified": "2023-12-13T01:23:25.392567Z",
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"TITLE": "Cisco Common Services Platform Collector SQL Injection Vulnerability"
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}
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"value": "The Cisco PSIRT is not aware of any public announcements or malicious use of the vulnerability that is described in this advisory. "
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"defect": [
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"discovery": "INTERNAL"
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"nvd.nist.gov": {
"configurations": {
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"nodes": [
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"impact": {
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"cvssV2": {
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"accessVector": "NETWORK",
"authentication": "SINGLE",
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},
"lastModifiedDate": "2021-11-23T01:53Z",
"publishedDate": "2021-11-19T00:15Z"
}
}
}
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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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