FKIE_CVE-2022-32547
Vulnerability from fkie_nvd - Published: 2022-06-16 18:15 - Updated: 2026-06-17 04:47
Severity
Summary
In ImageMagick, there is load of misaligned address for type 'double', which requires 8 byte alignment and for type 'float', which requires 4 byte alignment at MagickCore/property.c. Whenever crafted or untrusted input is processed by ImageMagick, this causes a negative impact to application availability or other problems related to undefined behavior.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| imagemagick | imagemagick | * | |
| imagemagick | imagemagick | * | |
| fedoraproject | fedora | 36 | |
| redhat | enterprise_linux | 6.0 | |
| redhat | enterprise_linux | 7.0 |
{
"affected": [
{
"affectedData": [
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"product": "ImageMagick",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "Fixed in ImageMagick 6.9.12-45, ImageMagick 7.1.0-30"
}
]
}
],
"source": "secalert@redhat.com"
}
],
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "In ImageMagick, there is load of misaligned address for type \u0027double\u0027, which requires 8 byte alignment and for type \u0027float\u0027, which requires 4 byte alignment at MagickCore/property.c. Whenever crafted or untrusted input is processed by ImageMagick, this causes a negative impact to application availability or other problems related to undefined behavior."
},
{
"lang": "es",
"value": "En ImageMagick, se presenta una carga de direcci\u00f3n alineada inapropiadamente para el tipo \"double\", que requiere una alineaci\u00f3n de 8 bytes, y para el tipo \"float\", que requiere una alineaci\u00f3n de 4 bytes, en el archivo MagickCore/property.c. Cuando ImageMagick procesa una entrada dise\u00f1ada o no confiable, esto causa un impacto negativo en la disponibilidad de la aplicaci\u00f3n u otros problemas relacionados con un comportamiento no definido"
}
],
"id": "CVE-2022-32547",
"lastModified": "2026-06-17T04:47:30.627",
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"published": "2022-06-16T18:15:10.983",
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"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
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"value": "CWE-704"
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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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