FKIE_CVE-2008-6441
Vulnerability from fkie_nvd - Published: 2009-03-09 14:30 - Updated: 2026-06-16 23:02
Severity
Summary
Format string vulnerability in the Epic Games Unreal engine client, as used in multiple games, allows remote servers to execute arbitrary code via (1) the CLASS parameter in a DLMGR command, (2) a malformed package (PKG), and possibly (3) the LEVEL parameter in a WELCOME command.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| epicgames | unreal_engine | 2 | |
| epicgames | unreal_engine | 2.5 | |
| epicgames | unreal_engine | 3 |
{
"affected": [
{
"affectedData": [
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"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
}
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}
],
"source": "cve@mitre.org"
}
],
"configurations": [
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"nodes": [
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"cveTags": [],
"descriptions": [
{
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"value": "Format string vulnerability in the Epic Games Unreal engine client, as used in multiple games, allows remote servers to execute arbitrary code via (1) the CLASS parameter in a DLMGR command, (2) a malformed package (PKG), and possibly (3) the LEVEL parameter in a WELCOME command."
},
{
"lang": "es",
"value": "Una vulnerabilidad de formato de cadena en el motor del cliente de Epic Games Unreal, cuando se utiliza en m\u00faltiples juegos, permite a servidores remotos ejecutar c\u00f3digo arbitrariamente a trav\u00e9s de (1) el par\u00e1metro \"CLASS\" en el comando DLMGR, (2) un paquete malformado (PKG), y posiblemente (3) el par\u00e1metro \"LEVEL\" en el comando WELCOME."
}
],
"id": "CVE-2008-6441",
"lastModified": "2026-06-16T23:02:14.043",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
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"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"
},
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"published": "2009-03-09T14:30:00.170",
"references": [
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{
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"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/45088"
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
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"value": "CWE-134"
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}
]
}
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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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