GSD-2000-0816
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Linux tmpwatch --fuser option allows local users to execute arbitrary commands by creating files whose names contain shell metacharacters.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2000-0816",
"description": "Linux tmpwatch --fuser option allows local users to execute arbitrary commands by creating files whose names contain shell metacharacters.",
"id": "GSD-2000-0816"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2000-0816"
],
"details": "Linux tmpwatch --fuser option allows local users to execute arbitrary commands by creating files whose names contain shell metacharacters.",
"id": "GSD-2000-0816",
"modified": "2023-12-13T01:19:03.188475Z",
"schema_version": "1.4.0"
}
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"references": {
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"name": "MDKSA-2000:056",
"refsource": "MANDRAKE",
"url": "http://www.linux-mandrake.com/en/security/MDKSA-2000-056.php3?dis=7.1"
},
{
"name": "RHSA-2000:080",
"refsource": "REDHAT",
"url": "http://www.redhat.com/support/errata/RHSA-2000-080.html"
},
{
"name": "linux-tmpwatch-fuser(5320)",
"refsource": "XF",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/5320"
},
{
"name": "20001006 Insecure call of external programs in Red Hat Linux tmpwatch",
"refsource": "ISS",
"url": "http://xforce.iss.net/alerts/advise64.php"
},
{
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}
]
}
},
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{
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},
{
"name": "1785",
"refsource": "BID",
"tags": [],
"url": "http://www.securityfocus.com/bid/1785"
},
{
"name": "linux-tmpwatch-fuser(5320)",
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"tags": [],
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/5320"
}
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}
},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 2.1,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:L/AC:L/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "LOW",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2017-10-10T01:29Z",
"publishedDate": "2000-10-06T04:00Z"
}
}
}
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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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