GSD-2021-37215
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
The employee management page of Flygo contains an Insecure Direct Object Reference (IDOR) vulnerability. After being authenticated as a general user, remote attacker can manipulate the user data and then over-write another employee’s user data by specifying that employee’s ID in the API parameter.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-37215",
"description": "The employee management page of Flygo contains an Insecure Direct Object Reference (IDOR) vulnerability. After being authenticated as a general user, remote attacker can manipulate the user data and then over-write another employee\u2019s user data by specifying that employee\u2019s ID in the API parameter.",
"id": "GSD-2021-37215"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
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"CVE-2021-37215"
],
"details": "The employee management page of Flygo contains an Insecure Direct Object Reference (IDOR) vulnerability. After being authenticated as a general user, remote attacker can manipulate the user data and then over-write another employee\u2019s user data by specifying that employee\u2019s ID in the API parameter.",
"id": "GSD-2021-37215",
"modified": "2023-12-13T01:23:09.594688Z",
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}
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"ID": "CVE-2021-37215",
"STATE": "PUBLIC",
"TITLE": "Larvata Digital Technology Co. Ltd. FLYGO - Use of Incorrectly-Resolved Name or Reference-4"
},
"affects": {
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{
"product": {
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}
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}
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},
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"impact": {
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"availabilityImpact": "NONE",
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N",
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"url": "https://www.twcert.org.tw/tw/cp-132-4992-dac66-1.html"
}
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},
"solution": [
{
"lang": "eng",
"value": "Update FLYGO to version 1.91.1"
}
],
"source": {
"advisory": "TVN-202108005",
"discovery": "EXTERNAL"
}
},
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"description": {
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}
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"tags": [
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
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"accessVector": "NETWORK",
"authentication": "SINGLE",
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"vectorString": "AV:N/AC:L/Au:S/C:N/I:P/A:N",
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"obtainOtherPrivilege": false,
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"severity": "MEDIUM",
"userInteractionRequired": false
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},
"lastModifiedDate": "2022-04-25T19:56Z",
"publishedDate": "2021-08-09T10:15Z"
}
}
}
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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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