GSD-2001-0647
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Orange Web Server 2.1, based on GoAhead, allows a remote attacker to perform a denial of service via an HTTP GET request that does not include the HTTP version.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2001-0647",
"description": "Orange Web Server 2.1, based on GoAhead, allows a remote attacker to perform a denial of service via an HTTP GET request that does not include the HTTP version.",
"id": "GSD-2001-0647"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2001-0647"
],
"details": "Orange Web Server 2.1, based on GoAhead, allows a remote attacker to perform a denial of service via an HTTP GET request that does not include the HTTP version.",
"id": "GSD-2001-0647",
"modified": "2023-12-13T01:19:01.629661Z",
"schema_version": "1.4.0"
}
},
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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"
}
]
}
},
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"data_version": "4.0",
"description": {
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"value": "Orange Web Server 2.1, based on GoAhead, allows a remote attacker to perform a denial of service via an HTTP GET request that does not include the HTTP version."
}
]
},
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]
},
"references": {
"reference_data": [
{
"name": "20010227 Orange Web Server v2.1 DoS",
"refsource": "BUGTRAQ",
"url": "http://www.securityfocus.com/archive/1/165658"
},
{
"name": "2432",
"refsource": "BID",
"url": "http://www.securityfocus.com/bid/2432"
}
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}
},
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"nodes": [
{
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"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:orange_software:orange_web_server:2.1:*:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
}
],
"operator": "OR"
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"tags": [
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},
{
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2008-09-05T20:24Z",
"publishedDate": "2001-08-06T04:00Z"
}
}
}
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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
| 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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