GSD-2021-3734
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
yourls is vulnerable to Improper Restriction of Rendered UI Layers or Frames
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-3734",
"description": "yourls is vulnerable to Improper Restriction of Rendered UI Layers or Frames",
"id": "GSD-2021-3734"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "yourls is vulnerable to Improper Restriction of Rendered UI Layers or Frames",
"id": "GSD-2021-3734",
"modified": "2023-12-13T01:23:34.867445Z",
"schema_version": "1.4.0"
}
},
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"STATE": "PUBLIC",
"TITLE": "Improper Restriction of Rendered UI Layers or Frames in yourls/yourls"
},
"affects": {
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{
"product": {
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{
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"version": {
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"version_affected": "\u003c=",
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}
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"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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},
{
"name": "https://github.com/yourls/yourls/commit/0a70acdcfb5fcbc63dbc5750018d608288eba3fe",
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"discovery": "EXTERNAL"
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"cwe_ids": [
"CWE-1035",
"CWE-937"
],
"date": "2021-09-01",
"description": "yourls is vulnerable to Improper Restriction of Rendered UI Layers or Frames",
"fixed_versions": [],
"identifier": "CVE-2021-3734",
"identifiers": [
"CVE-2021-3734"
],
"not_impacted": "",
"package_slug": "packagist/yourls/yourls",
"pubdate": "2021-08-26",
"solution": "Unfortunately, there is no solution available yet.",
"title": "Cross-Site Request Forgery (CSRF)",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2021-3734",
"https://huntr.dev/bounties/dd2e2dbe-efe5-49ec-be11-7a7e7c41debd"
],
"uuid": "1593375e-7645-4b31-a37b-34b3d6850821"
}
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"problemtype": {
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"references": {
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"refsource": "MISC",
"tags": [
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9
}
},
"lastModifiedDate": "2021-09-01T15:56Z",
"publishedDate": "2021-08-26T13:15Z"
}
}
}
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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
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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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