FKIE_CVE-2022-43032
Vulnerability from fkie_nvd - Published: 2022-10-19 14:15 - Updated: 2026-06-17 05:05
Severity
6.5 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
6.5 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
6.5 (Medium) - CVSS:3.1/
Summary
An issue was discovered in Bento4 v1.6.0-639. There is a memory leak in AP4_DescriptorFactory::CreateDescriptorFromStream in Core/Ap4DescriptorFactory.cpp, as demonstrated by mp42aac.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://github.com/axiomatic-systems/Bento4/issues/763 | Exploit, Issue Tracking, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/axiomatic-systems/Bento4/issues/763 | Exploit, Issue Tracking, Third Party Advisory |
{
"affected": [
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"affectedData": [
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"product": "n/a",
"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
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"nodes": [
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"cpeMatch": [
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"criteria": "cpe:2.3:a:axiosys:bento4:1.6.0-639:*:*:*:*:*:*:*",
"matchCriteriaId": "A003FBD1-339C-409D-A304-7FEE97E23250",
"vulnerable": true
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"negate": false,
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "An issue was discovered in Bento4 v1.6.0-639. There is a memory leak in AP4_DescriptorFactory::CreateDescriptorFromStream in Core/Ap4DescriptorFactory.cpp, as demonstrated by mp42aac."
},
{
"lang": "es",
"value": "Se ha detectado un problema en Bento4 versi\u00f3n v1.6.0-639. Se presenta una p\u00e9rdida de memoria en la funci\u00f3n AP4_DescriptorFactory::CreateDescriptorFromStream en el archivo Core/Ap4DescriptorFactory.cpp, como ha demostrado mp42aac"
}
],
"id": "CVE-2022-43032",
"lastModified": "2026-06-17T05:05:48.627",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
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"source": "nvd@nist.gov",
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"userInteraction": "REQUIRED",
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"role": "CISA Coordinator",
"timestamp": "2025-05-08T19:32:08.792173Z",
"version": "2.0.3"
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},
"published": "2022-10-19T14:15:09.853",
"references": [
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"vulnStatus": "Modified",
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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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