FKIE_CVE-2015-0295
Vulnerability from fkie_nvd - Published: 2015-03-25 14:59 - Updated: 2026-06-17 00:19
Severity
Summary
The BMP decoder in QtGui in QT before 5.5 does not properly calculate the masks used to extract the color components, which allows remote attackers to cause a denial of service (divide-by-zero and crash) via a crafted BMP file.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| fedoraproject | fedora | 20 | |
| fedoraproject | fedora | 21 | |
| fedoraproject | fedora | 22 | |
| opensuse | opensuse | 13.1 | |
| digia | qt | * |
{
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"source": "secalert@redhat.com"
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"descriptions": [
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"value": "The BMP decoder in QtGui in QT before 5.5 does not properly calculate the masks used to extract the color components, which allows remote attackers to cause a denial of service (divide-by-zero and crash) via a crafted BMP file."
},
{
"lang": "es",
"value": "El decodificador BMP en QtGui en QT anterior a 5.5 no calcula correctamente las mascaras utilizadas para extraer los componentes de color, lo que permite a atacantes remotos causar una denegaci\u00f3n de servicio (dividir por cero y ca\u00edda) a trav\u00e9s de un fichero BMP manipulado."
}
],
"id": "CVE-2015-0295",
"lastModified": "2026-06-17T00:19:56.153",
"metrics": {
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"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
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"published": "2015-03-25T14:59:01.720",
"references": [
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"url": "http://lists.fedoraproject.org/pipermail/package-announce/2015-March/150800.html"
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"url": "http://lists.fedoraproject.org/pipermail/package-announce/2015-March/151352.html"
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"url": "http://lists.opensuse.org/opensuse-updates/2015-03/msg00068.html"
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"tags": [
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"url": "http://lists.qt-project.org/pipermail/announce/2015-February/000059.html"
},
{
"source": "secalert@redhat.com",
"url": "http://www.securityfocus.com/bid/73029"
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"url": "http://www.securityfocus.com/bid/73029"
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"url": "http://www.ubuntu.com/usn/USN-2626-1"
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"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
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"description": [
{
"lang": "en",
"value": "CWE-189"
}
],
"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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