GSD-2024-2537
Vulnerability from gsd - Updated: 2024-04-02 05:02Details
Improper Control of Dynamically-Managed Code Resources vulnerability in Logitech Logi Tune on MacOS allows Local Code Inclusion.
Aliases
{
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2024-2537"
],
"details": "Improper Control of Dynamically-Managed Code Resources vulnerability in Logitech Logi Tune on MacOS allows Local Code Inclusion.",
"id": "GSD-2024-2537",
"modified": "2024-04-02T05:02:52.979340Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
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{
"product_name": "Logi Tune",
"version": {
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"version_value": "not down converted",
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"version": "3.5.249"
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"vendor_name": "Logitech"
}
]
}
},
"credits": [
{
"lang": "en",
"value": "Fatih ERDOGAN (ferdogan)"
}
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"data_version": "4.0",
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"generator": {
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"impact": {
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"attackComplexity": "LOW",
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"availabilityImpact": "NONE",
"baseScore": 4.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N",
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"lang": "eng",
"value": "CWE-913 Improper Control of Dynamically-Managed Code Resources"
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"references": {
"reference_data": [
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"name": "https://hackerone.com/reports/2376663",
"refsource": "MISC",
"url": "https://hackerone.com/reports/2376663"
}
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},
"source": {
"discovery": "EXTERNAL"
}
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"nvd.nist.gov": {
"cve": {
"descriptions": [
{
"lang": "en",
"value": "Improper Control of Dynamically-Managed Code Resources vulnerability in Logitech Logi Tune on MacOS allows Local Code Inclusion."
},
{
"lang": "es",
"value": "La vulnerabilidad del control inadecuado de los recursos de c\u00f3digo administrados din\u00e1micamente en Logitech Logi Tune en MacOS permite la inclusi\u00f3n de c\u00f3digo local."
}
],
"id": "CVE-2024-2537",
"lastModified": "2024-03-17T22:38:29.433",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
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"source": "cve-coordination@logitech.com",
"type": "Secondary"
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"published": "2024-03-15T18:15:08.583",
"references": [
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"source": "cve-coordination@logitech.com",
"url": "https://hackerone.com/reports/2376663"
}
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"sourceIdentifier": "cve-coordination@logitech.com",
"vulnStatus": "Awaiting Analysis",
"weaknesses": [
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"type": "Secondary"
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]
}
}
}
}
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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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