GSD-2006-4067
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Cross-site scripting (XSS) vulnerability in cake/libs/error.php in CakePHP before 1.1.7.3363 allows remote attackers to inject arbitrary web script or HTML via the URL, which is reflected back in a 404 ("Not Found") error page. NOTE: some of these details are obtained from third party information.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2006-4067",
"description": "Cross-site scripting (XSS) vulnerability in cake/libs/error.php in CakePHP before 1.1.7.3363 allows remote attackers to inject arbitrary web script or HTML via the URL, which is reflected back in a 404 (\"Not Found\") error page. NOTE: some of these details are obtained from third party information.",
"id": "GSD-2006-4067"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
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"id": "GSD-2006-4067",
"modified": "2023-12-13T01:19:51.326580Z",
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}
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"cvss_v2": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"cwe_ids": [
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"CWE-79",
"CWE-79",
"CWE-937"
],
"date": "2023-01-09",
"description": "Cross-site scripting (XSS) vulnerability in cake/libs/error.php in CakePHP before 1.1.7.3363 allows remote attackers to inject arbitrary web script or HTML via the URL, which is reflected back in a 404 (\"Not Found\") error page. NOTE: some of these details are obtained from third party information.",
"fixed_versions": [
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"identifier": "CVE-2006-4067",
"identifiers": [
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"not_impacted": "All versions before 1.0.1.2708, all versions after 1.1.6.3264",
"package_slug": "packagist/cakephp/cakephp",
"pubdate": "2022-05-01",
"solution": "Upgrade to version 1.1.7.3363 or above.",
"title": "Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
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"uuid": "0bbbf1e0-ddde-4765-bbda-d2ba2facf9f6"
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"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
}
},
"lastModifiedDate": "2017-07-20T01:32Z",
"publishedDate": "2006-08-10T00:04Z"
}
}
}
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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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