GSD-2006-0786
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Incomplete blacklist vulnerability in include.php in PHPKIT 1.6.1 Release 2 and earlier, with allow_url_fopen enabled, allows remote attackers to conduct PHP remote file include attacks via a path parameter that specifies a (1) UNC share or (2) ftps URL, which bypasses the check for "http://", "ftp://", and "https://" URLs.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2006-0786",
"description": "Incomplete blacklist vulnerability in include.php in PHPKIT 1.6.1 Release 2 and earlier, with allow_url_fopen enabled, allows remote attackers to conduct PHP remote file include attacks via a path parameter that specifies a (1) UNC share or (2) ftps URL, which bypasses the check for \"http://\", \"ftp://\", and \"https://\" URLs.",
"id": "GSD-2006-0786"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "Incomplete blacklist vulnerability in include.php in PHPKIT 1.6.1 Release 2 and earlier, with allow_url_fopen enabled, allows remote attackers to conduct PHP remote file include attacks via a path parameter that specifies a (1) UNC share or (2) ftps URL, which bypasses the check for \"http://\", \"ftp://\", and \"https://\" URLs.",
"id": "GSD-2006-0786",
"modified": "2023-12-13T01:19:50.920547Z",
"schema_version": "1.4.0"
}
},
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{
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"url": "http://retrogod.altervista.org/phpkit_161r2_incl_xpl.html"
},
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},
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"versionEndIncluding": "1.6.1",
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"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "HIGH",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.1,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:H/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 4.9,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": true,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2018-10-18T16:29Z",
"publishedDate": "2006-02-19T11:02Z"
}
}
}
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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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