FKIE_CVE-2005-0155
Vulnerability from fkie_nvd - Published: 2005-05-02 04:00 - Updated: 2026-06-16 22:10
Severity
Summary
The PerlIO implementation in Perl 5.8.0, when installed with setuid support (sperl), allows local users to create arbitrary files via the PERLIO_DEBUG variable.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| larry_wall | perl | 5.8.0 |
{
"affected": [
{
"affectedData": [
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"vendor": "n/a",
"versions": [
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"status": "affected",
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}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
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"vulnerable": true
}
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"negate": false,
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The PerlIO implementation in Perl 5.8.0, when installed with setuid support (sperl), allows local users to create arbitrary files via the PERLIO_DEBUG variable."
}
],
"id": "CVE-2005-0155",
"lastModified": "2026-06-16T22:10:36.543",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.6,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
]
},
"published": "2005-05-02T04:00:00.000",
"references": [
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"url": "http://www.gentoo.org/security/en/glsa/glsa-200502-13.xml"
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{
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"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/19207"
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"url": "http://secunia.com/advisories/14120"
},
{
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"url": "http://secunia.com/advisories/21646"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://support.avaya.com/elmodocs2/security/ASA-2006-163.htm"
},
{
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"url": "http://www.digitalmunition.com/DMA%5B2005-0131a%5D.txt"
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{
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
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"value": "NVD-CWE-Other"
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],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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