FKIE_CVE-2005-3051
Vulnerability from fkie_nvd - Published: 2005-09-24 00:03 - Updated: 2026-06-16 22:16
Severity
Summary
Stack-based buffer overflow in the ARJ plugin (arj.dll) 3.9.2.0 for 7-Zip 3.13, 4.23, and 4.26 BETA, as used in products including Turbo Searcher, allows remote attackers to execute arbitrary code via a large ARJ block.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| igor_pavlov | 7-zip | 3.13 | |
| igor_pavlov | 7-zip | 4.23 | |
| igor_pavlov | 7-zip | 4.26_beta |
{
"affected": [
{
"affectedData": [
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"vendor": "n/a",
"versions": [
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"status": "affected",
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}
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}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
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"cveTags": [],
"descriptions": [
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"value": "Stack-based buffer overflow in the ARJ plugin (arj.dll) 3.9.2.0 for 7-Zip 3.13, 4.23, and 4.26 BETA, as used in products including Turbo Searcher, allows remote attackers to execute arbitrary code via a large ARJ block."
}
],
"id": "CVE-2005-3051",
"lastModified": "2026-06-16T22:16:09.537",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 9.3,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:N/AC:M/Au:N/C:C/I:C/A:C",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 10.0,
"obtainAllPrivilege": true,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": true
}
]
},
"published": "2005-09-24T00:03:00.000",
"references": [
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{
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"url": "http://securitytracker.com/id?1017261"
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{
"source": "cve@mitre.org",
"url": "http://www.securityfocus.com/bid/14925"
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{
"source": "cve@mitre.org",
"url": "http://www.securityfocus.com/bid/21208"
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{
"source": "cve@mitre.org",
"url": "http://www.vuln.sg/turbosearcher330-en.html"
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{
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"url": "http://www.vupen.com/english/advisories/2006/4603"
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{
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},
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{
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"url": "http://www.vuln.sg/turbosearcher330-en.html"
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
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"description": [
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"lang": "en",
"value": "CWE-119"
}
],
"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.
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- 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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