FKIE_CVE-2024-31202
Vulnerability from fkie_nvd - Published: 2024-07-31 14:15 - Updated: 2026-06-17 07:27
Severity
7.8 (High) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
7.8 (High) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
7.8 (High) - CVSS:3.1/
Summary
A “CWE-732: Incorrect Permission Assignment for Critical Resource” in the ThermoscanIP installation folder allows a local attacker to perform a Local Privilege Escalation.
References
| URL | Tags | ||
|---|---|---|---|
| prodsec@nozominetworks.com | https://www.nozominetworks.com/labs/vulnerability-advisories-cve-2024-31202 | Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| proges | thermoscan_ip | 20211103 |
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unknown",
"platforms": [
"Windows"
],
"product": "Thermoscan IP",
"vendor": "Plug\u0026Track",
"versions": [
{
"status": "affected",
"version": "20211103",
"versionType": "semver"
}
]
}
],
"source": "prodsec@nozominetworks.com"
},
{
"affectedData": [
{
"cpes": [
"cpe:2.3:a:plug\\\u0026track:thermoscan_ip:20211103:*:*:*:*:*:*:*"
],
"defaultStatus": "unknown",
"product": "thermoscan_ip",
"vendor": "plug\\\u0026track",
"versions": [
{
"status": "affected",
"version": "20211103"
}
]
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:proges:thermoscan_ip:20211103:*:*:*:*:*:*:*",
"matchCriteriaId": "19996105-63B1-46E4-A90F-D5C414718F47",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A \u201cCWE-732: Incorrect Permission Assignment for Critical Resource\u201d in the ThermoscanIP installation folder allows a local attacker to perform a Local Privilege Escalation."
},
{
"lang": "es",
"value": " Un \"CWE-732: Asignaci\u00f3n de permisos incorrecta para recursos cr\u00edticos\" en la carpeta de instalaci\u00f3n de ThermoscanIP permite a un atacante local realizar una escalada de privilegios local."
}
],
"id": "CVE-2024-31202",
"lastModified": "2026-06-17T07:27:58.350",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 5.9,
"source": "prodsec@nozominetworks.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2024-31202",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-07-31T16:12:35.449038Z",
"version": "2.0.3"
}
}
]
},
"published": "2024-07-31T14:15:05.127",
"references": [
{
"source": "prodsec@nozominetworks.com",
"tags": [
"Third Party Advisory"
],
"url": "https://www.nozominetworks.com/labs/vulnerability-advisories-cve-2024-31202"
}
],
"sourceIdentifier": "prodsec@nozominetworks.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-732"
}
],
"source": "prodsec@nozominetworks.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-732"
}
],
"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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