GSD-2001-0911
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
PHP-Nuke 5.1 stores user and administrator passwords in a base-64 encoded cookie, which could allow remote attackers to gain privileges by stealing or sniffing the cookie and decoding it.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2001-0911",
"description": "PHP-Nuke 5.1 stores user and administrator passwords in a base-64 encoded cookie, which could allow remote attackers to gain privileges by stealing or sniffing the cookie and decoding it.",
"id": "GSD-2001-0911"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2001-0911"
],
"details": "PHP-Nuke 5.1 stores user and administrator passwords in a base-64 encoded cookie, which could allow remote attackers to gain privileges by stealing or sniffing the cookie and decoding it.",
"id": "GSD-2001-0911",
"modified": "2023-12-13T01:19:01.668441Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"ASSIGNER": "cve@mitre.org",
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"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
"version_data": [
{
"version_value": "n/a"
}
]
}
}
]
},
"vendor_name": "n/a"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "PHP-Nuke 5.1 stores user and administrator passwords in a base-64 encoded cookie, which could allow remote attackers to gain privileges by stealing or sniffing the cookie and decoding it."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "n/a"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "phpnuke-postnuke-insecure-passwords(7596)",
"refsource": "XF",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/7596"
},
{
"name": "3567",
"refsource": "BID",
"url": "http://www.securityfocus.com/bid/3567"
},
{
"name": "20011121 PhpNuke Admin password can be stolen !",
"refsource": "BUGTRAQ",
"url": "http://marc.info/?l=bugtraq\u0026m=100638850219503\u0026w=2"
}
]
}
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:francisco_burzi:php-nuke:5.1:*:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:francisco_burzi:php-nuke:5.2:*:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:francisco_burzi:php-nuke:5.3.1:*:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:postnuke_software_foundation:postnuke:0.64:*:*:*:*:*:*:*",
"cpe_name": [],
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],
"operator": "OR"
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},
"cve": {
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"ID": "CVE-2001-0911"
},
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"data_type": "CVE",
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"description": {
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{
"lang": "en",
"value": "PHP-Nuke 5.1 stores user and administrator passwords in a base-64 encoded cookie, which could allow remote attackers to gain privileges by stealing or sniffing the cookie and decoding it."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-Other"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "3567",
"refsource": "BID",
"tags": [
"Vendor Advisory"
],
"url": "http://www.securityfocus.com/bid/3567"
},
{
"name": "20011121 PhpNuke Admin password can be stolen !",
"refsource": "BUGTRAQ",
"tags": [],
"url": "http://marc.info/?l=bugtraq\u0026m=100638850219503\u0026w=2"
},
{
"name": "phpnuke-postnuke-insecure-passwords(7596)",
"refsource": "XF",
"tags": [],
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/7596"
}
]
}
},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": true,
"severity": "HIGH",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2017-12-19T02:29Z",
"publishedDate": "2001-11-21T05:00Z"
}
}
}
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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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