JVNDB-2024-000032
Vulnerability from jvndb - Published: 2024-03-18 05:08 - Updated:2024-03-19 02:02
Severity
Summary
Multiple vulnerabilities in FitNesse
Details
FitNesse contains multiple vulnerabilities listed below.
- Multiple cross-site scripting (CWE-79) - CVE-2024-23604, CVE-2024-28128
- Improper restriction of XML external entity references (CWE-611) -CVE-2024-28039
- OS command injection (CWE-78) - CVE-2024-28125
References
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{
"@rdf:about": "https://jvndb.jvn.jp/en/contents/2024/JVNDB-2024-000032.html",
"dc:date": "2024-03-19T11:02+09:00",
"dcterms:issued": "2024-03-18T14:08+09:00",
"dcterms:modified": "2024-03-19T11:02+09:00",
"description": "FitNesse contains multiple vulnerabilities listed below.\u003cul\u003e\u003cli\u003eMultiple cross-site scripting (CWE-79) - CVE-2024-23604, CVE-2024-28128\u003c/li\u003e\u003cli\u003eImproper restriction of XML external entity references (CWE-611) -CVE-2024-28039\u003c/li\u003e\u003cli\u003eOS command injection (CWE-78) - CVE-2024-28125\u003c/li\u003e\u003c/ul\u003eCVE-2024-23604, CVE-2024-28039, CVE-2024-28125\r\nKanta Nishitani of GMO Cybersecurity by Ierae, Inc. reported this vulnerability to IPA.\r\nJPCERT/CC coordinated with the developer under Information Security Early Warning Partnership.\r\n\r\nCVE-2024-28128\r\nYutaka WATANABE of GMO Cybersecurity by Ierae, Inc. reported this vulnerability to IPA.\r\nJPCERT/CC coordinated with the developer under Information Security Early Warning Partnership.",
"link": "https://jvndb.jvn.jp/en/contents/2024/JVNDB-2024-000032.html",
"sec:cpe": [
{
"#text": "cpe:/a:fitnesse:fitnesse",
"@product": "FitNesse",
"@vendor": "unclebob",
"@version": "2.2"
},
{
"#text": "cpe:/a:fitnesse:fitnesse",
"@product": "FitNesse",
"@vendor": "unclebob",
"@version": "2.2"
}
],
"sec:cvss": [
{
"@score": "6.5",
"@severity": "Medium",
"@type": "Base",
"@vector": "AV:N/AC:L/Au:S/C:P/I:P/A:P",
"@version": "2.0"
},
{
"@score": "8.8",
"@severity": "High",
"@type": "Base",
"@vector": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"@version": "3.0"
}
],
"sec:identifier": "JVNDB-2024-000032",
"sec:references": [
{
"#text": "https://jvn.jp/en/jp/JVN94521208/index.html",
"@id": "JVN#94521208",
"@source": "JVN"
},
{
"#text": "https://www.cve.org/CVERecord?id=CVE-2024-23604",
"@id": "CVE-2024-23604",
"@source": "CVE"
},
{
"#text": "https://www.cve.org/CVERecord?id=CVE-2024-28039",
"@id": "CVE-2024-28039",
"@source": "CVE"
},
{
"#text": "https://www.cve.org/CVERecord?id=CVE-2024-28125",
"@id": "CVE-2024-28125",
"@source": "CVE"
},
{
"#text": "https://www.cve.org/CVERecord?id=CVE-2024-28128",
"@id": "CVE-2024-28128",
"@source": "CVE"
},
{
"#text": "https://www.ipa.go.jp/en/security/vulnerabilities/cwe.html",
"@id": "CWE-78",
"@title": "OS Command Injection(CWE-78)"
},
{
"#text": "https://www.ipa.go.jp/en/security/vulnerabilities/cwe.html",
"@id": "CWE-79",
"@title": "Cross-site Scripting(CWE-79)"
},
{
"#text": "https://www.ipa.go.jp/en/security/vulnerabilities/cwe.html",
"@id": "CWE-Other",
"@title": "No Mapping(CWE-Other)"
}
],
"title": "Multiple vulnerabilities in FitNesse"
}
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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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