GSD-2020-21998
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
In HomeAutomation 3.3.2 input passed via the 'redirect' GET parameter in 'api.php' script is not properly verified before being used to redirect users. This can be exploited to redirect a user to an arbitrary website e.g. when a user clicks a specially crafted link to the affected script hosted on a trusted domain.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-21998",
"description": "In HomeAutomation 3.3.2 input passed via the \u0027redirect\u0027 GET parameter in \u0027api.php\u0027 script is not properly verified before being used to redirect users. This can be exploited to redirect a user to an arbitrary website e.g. when a user clicks a specially crafted link to the affected script hosted on a trusted domain.",
"id": "GSD-2020-21998"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2020-21998"
],
"details": "In HomeAutomation 3.3.2 input passed via the \u0027redirect\u0027 GET parameter in \u0027api.php\u0027 script is not properly verified before being used to redirect users. This can be exploited to redirect a user to an arbitrary website e.g. when a user clicks a specially crafted link to the affected script hosted on a trusted domain.",
"id": "GSD-2020-21998",
"modified": "2023-12-13T01:21:45.529805Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
"version_data": [
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"version_value": "n/a"
}
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}
}
]
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"vendor_name": "n/a"
}
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}
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"data_version": "4.0",
"description": {
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"value": "In HomeAutomation 3.3.2 input passed via the \u0027redirect\u0027 GET parameter in \u0027api.php\u0027 script is not properly verified before being used to redirect users. This can be exploited to redirect a user to an arbitrary website e.g. when a user clicks a specially crafted link to the affected script hosted on a trusted domain."
}
]
},
"problemtype": {
"problemtype_data": [
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},
"references": {
"reference_data": [
{
"name": "https://www.zeroscience.mk/en/vulnerabilities/ZSL-2019-5559.php",
"refsource": "MISC",
"url": "https://www.zeroscience.mk/en/vulnerabilities/ZSL-2019-5559.php"
},
{
"name": "https://cxsecurity.com/issue/WLB-2019120132",
"refsource": "MISC",
"url": "https://cxsecurity.com/issue/WLB-2019120132"
}
]
}
},
"nvd.nist.gov": {
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"nodes": [
{
"children": [],
"cpe_match": [
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"cpe_name": [],
"vulnerable": true
}
],
"operator": "OR"
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}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
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"value": "CWE-601"
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"references": {
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{
"name": "https://www.zeroscience.mk/en/vulnerabilities/ZSL-2019-5559.php",
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"tags": [
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"url": "https://www.zeroscience.mk/en/vulnerabilities/ZSL-2019-5559.php"
},
{
"name": "https://cxsecurity.com/issue/WLB-2019120132",
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"url": "https://cxsecurity.com/issue/WLB-2019120132"
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 2.7
}
},
"lastModifiedDate": "2021-05-06T14:19Z",
"publishedDate": "2021-04-27T18:15Z"
}
}
}
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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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