JVNDB-2024-000022
Vulnerability from jvndb - Published: 2024-02-27 05:25 - Updated:2024-02-27 05:25
Severity
Summary
Multiple vulnerabilities in baserCMS
Details
baserCMS provided by baserCMS Users Community contains multiple vulnerabilities listed below.
- Reflected cross-site scripting vulnerability in Site search Feature (CWE-79) - CVE-2023-44379
- Stored cross-site scripting vulnerability in Content Management (CWE-79) - CVE-2024-26128
- OS command injection vulnerability (CWE-78) - CVE-2023-51450
References
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Impacted products
| Vendor | Product | |
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{
"@rdf:about": "https://jvndb.jvn.jp/en/contents/2024/JVNDB-2024-000022.html",
"dc:date": "2024-02-27T14:25+09:00",
"dcterms:issued": "2024-02-27T14:25+09:00",
"dcterms:modified": "2024-02-27T14:25+09:00",
"description": "baserCMS provided by baserCMS Users Community contains multiple vulnerabilities listed below.\r\n\r\n\u003cul\u003e\r\n\u003cli\u003eReflected cross-site scripting vulnerability in Site search Feature (CWE-79) - CVE-2023-44379\u003c/li\u003e\r\n\u003cli\u003eStored cross-site scripting vulnerability in Content Management (CWE-79) - CVE-2024-26128\u003c/li\u003e\r\n\u003cli\u003eOS command injection vulnerability (CWE-78) - CVE-2023-51450\u003c/li\u003e\r\n\u003c/ul\u003e\r\n\r\nCVE-2023-44379\r\nYusuke Uchida of PERSOL CROSS TECHNOLOGY CO., LTD. (Not affiliated at the time of report submission) reported this vulnerability to IPA.\r\nJPCERT/CC coordinated with the developer under Information Security Early Warning Partnership.\r\n\r\nCVE-2024-26128\r\nKentaro Ishii 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-2023-51450\r\nShunsuke Tanizaki 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-2024-000022.html",
"sec:cpe": {
"#text": "cpe:/a:basercms:basercms",
"@product": "baserCMS",
"@vendor": "baserCMS Users Community",
"@version": "2.2"
},
"sec:cvss": [
{
"@score": "6.8",
"@severity": "Medium",
"@type": "Base",
"@vector": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"@version": "2.0"
},
{
"@score": "8.1",
"@severity": "High",
"@type": "Base",
"@vector": "CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H",
"@version": "3.0"
}
],
"sec:identifier": "JVNDB-2024-000022",
"sec:references": [
{
"#text": "https://jvn.jp/en/jp/JVN73283159/index.html",
"@id": "JVN#73283159",
"@source": "JVN"
},
{
"#text": "https://www.cve.org/CVERecord?id=CVE-2023-44379",
"@id": "CVE-2023-44379",
"@source": "CVE"
},
{
"#text": "https://www.cve.org/CVERecord?id=CVE-2024-26128",
"@id": "CVE-2024-26128",
"@source": "CVE"
},
{
"#text": "https://www.cve.org/CVERecord?id=CVE-2023-51450",
"@id": "CVE-2023-51450",
"@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)"
}
],
"title": "Multiple vulnerabilities in baserCMS"
}
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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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