FKIE_CVE-2004-0403
Vulnerability from fkie_nvd - Published: 2004-06-01 04:00 - Updated: 2026-06-16 22:05
Severity
Summary
Racoon before 20040408a allows remote attackers to cause a denial of service (memory consumption) via an ISAKMP packet with a large length field.
References
{
"affected": [
{
"affectedData": [
{
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"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
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"nodes": [
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"matchCriteriaId": "052A6780-7CD2-4BBE-94D0-C63B06620822",
"versionEndIncluding": "2004-04-08a",
"vulnerable": true
}
],
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Racoon before 20040408a allows remote attackers to cause a denial of service (memory consumption) via an ISAKMP packet with a large length field."
}
],
"id": "CVE-2004-0403",
"lastModified": "2026-06-16T22:05:34.367",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"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,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
]
},
"published": "2004-06-01T04:00:00.000",
"references": [
{
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{
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"url": "http://www.kame.net/dev/cvsweb2.cgi/kame/kame/kame/racoon/isakmp.c.diff?r1=1.180\u0026r2=1.181"
},
{
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{
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{
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{
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{
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"url": "http://secunia.com/advisories/11877"
},
{
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"url": "http://security.gentoo.org/glsa/glsa-200404-17.xml"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://securitytracker.com/id?1009937"
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{
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"url": "http://sourceforge.net/project/shownotes.php?release_id=232288"
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{
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"tags": [
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},
{
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{
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{
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{
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],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"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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