FKIE_CVE-2017-2100
Vulnerability from fkie_nvd - Published: 2017-04-28 16:59 - Updated: 2026-06-17 01:15
Severity
Summary
Hands-on Vulnerability Learning Tool "AppGoat" for Web Application V3.0.1 and earlier allows remote attackers to conduct DNS rebinding attacks via unspecified vectors.
References
| URL | Tags | ||
|---|---|---|---|
| vultures@jpcert.or.jp | http://jvn.jp/en/jp/JVN87662835/index.html | Third Party Advisory, VDB Entry | |
| vultures@jpcert.or.jp | http://www.securityfocus.com/bid/96229 | Third Party Advisory, VDB Entry | |
| af854a3a-2127-422b-91ae-364da2661108 | http://jvn.jp/en/jp/JVN87662835/index.html | Third Party Advisory, VDB Entry | |
| af854a3a-2127-422b-91ae-364da2661108 | http://www.securityfocus.com/bid/96229 | Third Party Advisory, VDB Entry |
{
"affected": [
{
"affectedData": [
{
"product": "Hands-on Vulnerability Learning Tool \"AppGoat\" for Web Application",
"vendor": "INFORMATION-TECHNOLOGY PROMOTION AGENCY, JAPAN (IPA)",
"versions": [
{
"status": "affected",
"version": "V3.0.1 and earlier"
}
]
}
],
"source": "vultures@jpcert.or.jp"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:ipa:appgoat:*:*:*:*:*:*:*:*",
"matchCriteriaId": "8485742D-F0F1-405D-BF1C-0554FE7F3F8E",
"versionEndIncluding": "3.0.1",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Hands-on Vulnerability Learning Tool \"AppGoat\" for Web Application V3.0.1 and earlier allows remote attackers to conduct DNS rebinding attacks via unspecified vectors."
},
{
"lang": "es",
"value": "La herramienta pr\u00e1ctica de aprendizaje sobre vulnerabilidades \"AppGoat\" para Web Aplication V3.0.1 y anteriores permite a los atacantes remotos realizar ataques de repetici\u00f3n de DNS a trav\u00e9s de vectores no especificados."
}
],
"id": "CVE-2017-2100",
"lastModified": "2026-06-17T01:15:33.093",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": true
}
],
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 6.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L",
"version": "3.0"
},
"exploitabilityScore": 2.8,
"impactScore": 3.4,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2017-04-28T16:59:00.700",
"references": [
{
"source": "vultures@jpcert.or.jp",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://jvn.jp/en/jp/JVN87662835/index.html"
},
{
"source": "vultures@jpcert.or.jp",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/96229"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://jvn.jp/en/jp/JVN87662835/index.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/96229"
}
],
"sourceIdentifier": "vultures@jpcert.or.jp",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-20"
}
],
"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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