FKIE_CVE-2021-45847
Vulnerability from fkie_nvd - Published: 2022-01-25 14:15 - Updated: 2026-06-17 04:14
Severity
Summary
Several missing input validations in the 3MF parser component of Slic3r libslic3r 1.3.0 can each allow an attacker to cause an application crash using a crafted 3MF input file.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://github.com/slic3r/Slic3r/issues/5118 | Issue Tracking, Mitigation, Patch, Third Party Advisory | |
| cve@mitre.org | https://github.com/slic3r/Slic3r/issues/5119 | Issue Tracking, Mitigation, Patch, Third Party Advisory | |
| cve@mitre.org | https://github.com/slic3r/Slic3r/issues/5120 | Issue Tracking, Mitigation, Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/slic3r/Slic3r/issues/5118 | Issue Tracking, Mitigation, Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/slic3r/Slic3r/issues/5119 | Issue Tracking, Mitigation, Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/slic3r/Slic3r/issues/5120 | Issue Tracking, Mitigation, Patch, Third Party Advisory |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:slic3r:slic3r:1.3.0:*:*:*:*:*:*:*",
"matchCriteriaId": "A80F063E-875F-4590-B370-4A8795AF1F9F",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Several missing input validations in the 3MF parser component of Slic3r libslic3r 1.3.0 can each allow an attacker to cause an application crash using a crafted 3MF input file."
},
{
"lang": "es",
"value": "Varias comprobaciones de entradas faltantes en el componente analizador 3MF de Slic3r libslic3r versi\u00f3n 1.3.0, pueden permitir a un atacante causar un fallo en la aplicaci\u00f3n usando un archivo de entrada 3MF dise\u00f1ado"
}
],
"id": "CVE-2021-45847",
"lastModified": "2026-06-17T04:14:09.620",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": true
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2022-01-25T14:15:08.860",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Issue Tracking",
"Mitigation",
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/slic3r/Slic3r/issues/5118"
},
{
"source": "cve@mitre.org",
"tags": [
"Issue Tracking",
"Mitigation",
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/slic3r/Slic3r/issues/5119"
},
{
"source": "cve@mitre.org",
"tags": [
"Issue Tracking",
"Mitigation",
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/slic3r/Slic3r/issues/5120"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Issue Tracking",
"Mitigation",
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/slic3r/Slic3r/issues/5118"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Issue Tracking",
"Mitigation",
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/slic3r/Slic3r/issues/5119"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Issue Tracking",
"Mitigation",
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/slic3r/Slic3r/issues/5120"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-476"
}
],
"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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