GSD-2018-20595
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
A CSRF issue was discovered in web/authorization/oauth2/controller/OAuth2ClientController.java in hsweb 3.0.4 because the state parameter in the request is not compared with the state parameter in the session after user authentication is successful.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-20595",
"description": "A CSRF issue was discovered in web/authorization/oauth2/controller/OAuth2ClientController.java in hsweb 3.0.4 because the state parameter in the request is not compared with the state parameter in the session after user authentication is successful.",
"id": "GSD-2018-20595"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "A CSRF issue was discovered in web/authorization/oauth2/controller/OAuth2ClientController.java in hsweb 3.0.4 because the state parameter in the request is not compared with the state parameter in the session after user authentication is successful.",
"id": "GSD-2018-20595",
"modified": "2023-12-13T01:22:29.637317Z",
"schema_version": "1.4.0"
}
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"name": "https://github.com/hs-web/hsweb-framework/commit/40929e9b0d336a26281a5ed2e0e721d54dd8d2f2",
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"url": "https://github.com/hs-web/hsweb-framework/commit/40929e9b0d336a26281a5ed2e0e721d54dd8d2f2"
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"advisories": [
{
"affected_range": "(,3.0.4]",
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"cwe_ids": [
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"CWE-352",
"CWE-352",
"CWE-937"
],
"date": "2021-09-01",
"description": "A CSRF issue was discovered in web/authorization/oauth2/controller/OAuth2ClientController.java in hsweb 3.0.4 because the state parameter in the request is not compared with the state parameter in the session after user authentication is successful.",
"fixed_versions": [],
"identifier": "CVE-2018-20595",
"identifiers": [
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"CVE-2018-20595"
],
"not_impacted": "",
"package_slug": "maven/org.hswebframework.web/hsweb-commons",
"pubdate": "2019-01-04",
"solution": "Unfortunately, there is no solution available yet.",
"title": "Cross-Site Request Forgery (CSRF)",
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"impact": {
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"authentication": "NONE",
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"baseScore": 6.8,
"confidentialityImpact": "PARTIAL",
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"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
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"baseScore": 8.8,
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"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
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"impactScore": 5.9
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},
"lastModifiedDate": "2019-01-14T14:52Z",
"publishedDate": "2018-12-30T18:29Z"
}
}
}
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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
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Nomenclature
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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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