JVNDB-2024-004623
Vulnerability from jvndb - Published: 2024-07-29 01:23 - Updated:2024-10-24 07:37
Severity
Summary
Multiple products from Check Point Software Technologies vulnerable to information disclosure
Details
Multiple products from Check Point Software Technologies contain an information disclosure vulnerability (CWE-200,CVE-2024-24919).
JPCERT/CC coordinated with Check Point Software Technologies to publish this advisory in order to notify users of this vulnerability.
References
| Type | URL | |
|---|---|---|
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Impacted products
{
"@rdf:about": "https://jvndb.jvn.jp/en/contents/2024/JVNDB-2024-004623.html",
"dc:date": "2024-10-24T16:37+09:00",
"dcterms:issued": "2024-07-29T10:23+09:00",
"dcterms:modified": "2024-10-24T16:37+09:00",
"description": "Multiple products from Check Point Software Technologies contain an information disclosure vulnerability (CWE-200,\u003ca href=\"https://www.cve.org/CVERecord?id=CVE-2024-24919\"target=\"blank\"\u003eCVE-2024-24919\u003c/a\u003e).\r\n\r\nJPCERT/CC coordinated with Check Point Software Technologies to publish this advisory in order to notify users of this vulnerability.",
"link": "https://jvndb.jvn.jp/en/contents/2024/JVNDB-2024-004623.html",
"sec:cpe": [
{
"#text": "cpe:/a:checkpoint:cloudguard_network_security",
"@product": "CloudGuard Network",
"@vendor": "Check Point Software Technologies",
"@version": "2.2"
},
{
"#text": "cpe:/a:checkpoint:quantum_scalable_chassis",
"@product": "Quantum Scalable Chassis",
"@vendor": "Check Point Software Technologies",
"@version": "2.2"
},
{
"#text": "cpe:/a:checkpoint:quantum_security_gateways",
"@product": "Quantum Security Gateways",
"@vendor": "Check Point Software Technologies",
"@version": "2.2"
},
{
"#text": "cpe:/o:checkpoint:quantum_maestro",
"@product": "Quantum Maestro",
"@vendor": "Check Point Software Technologies",
"@version": "2.2"
},
{
"#text": "cpe:/o:checkpoint:quantum_spark_firmware",
"@product": "Quantum Spark Appliances",
"@vendor": "Check Point Software Technologies",
"@version": "2.2"
}
],
"sec:cvss": {
"@score": "8.6",
"@severity": "High",
"@type": "Base",
"@vector": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N",
"@version": "3.0"
},
"sec:identifier": "JVNDB-2024-004623",
"sec:references": [
{
"#text": "https://jvn.jp/en/vu/JVNVU98330908/index.html",
"@id": "JVNVU#98330908",
"@source": "JVN"
},
{
"#text": "https://www.cve.org/CVERecord?id=CVE-2024-24919",
"@id": "CVE-2024-24919",
"@source": "CVE"
},
{
"#text": "https://nvd.nist.gov/vuln/detail/CVE-2024-24919",
"@id": "CVE-2024-24919",
"@source": "NVD"
},
{
"#text": "https://www.jpcert.or.jp/newsflash/2024053001.html",
"@id": "Regarding Check Point Software Technologies VPN Information Disclosure vulnerability (CVE-2024-24919)",
"@source": "JPCERT"
},
{
"#text": "https://www.ipa.go.jp/en/security/vulnerabilities/cwe.html",
"@id": "CWE-200",
"@title": "Information Exposure(CWE-200)"
}
],
"title": "Multiple products from Check Point Software Technologies vulnerable to information disclosure"
}
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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
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