FKIE_CVE-2022-33099
Vulnerability from fkie_nvd - Published: 2022-07-01 12:15 - Updated: 2026-06-17 04:48
Severity
Summary
An issue in the component luaG_runerror of Lua v5.4.4 and below leads to a heap-buffer overflow when a recursive error occurs.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lua | lua | * | |
| fedoraproject | fedora | 35 | |
| fedoraproject | fedora | 36 |
{
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"vendor": "n/a",
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"source": "cve@mitre.org"
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},
{
"lang": "es",
"value": "Un problema en el componente luaG_runerror de Lua versiones v5.4.4 y posteriores, conlleva a un desbordamiento del b\u00fafer de la pila cuando es producido un error recursivo"
}
],
"id": "CVE-2022-33099",
"lastModified": "2026-06-17T04:48:27.590",
"metrics": {
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"published": "2022-07-01T12:15:08.173",
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],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
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"description": [
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"lang": "en",
"value": "CWE-787"
}
],
"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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