FKIE_CVE-2010-4543
Vulnerability from fkie_nvd - Published: 2011-01-07 20:00 - Updated: 2026-06-16 23:25
Severity
Summary
Heap-based buffer overflow in the read_channel_data function in file-psp.c in the Paint Shop Pro (PSP) plugin in GIMP 2.6.11 allows remote attackers to cause a denial of service (application crash) or possibly execute arbitrary code via a PSP_COMP_RLE (aka RLE compression) image file that begins a long run count at the end of the image. NOTE: some of these details are obtained from third party information.
References
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "secalert@redhat.com"
}
],
"configurations": [
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"nodes": [
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"cpeMatch": [
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"criteria": "cpe:2.3:a:gimp:gimp:2.6.11:*:*:*:*:*:*:*",
"matchCriteriaId": "20EA4C96-C8EE-4970-863E-CF80926EC95A",
"vulnerable": true
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"negate": false,
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Heap-based buffer overflow in the read_channel_data function in file-psp.c in the Paint Shop Pro (PSP) plugin in GIMP 2.6.11 allows remote attackers to cause a denial of service (application crash) or possibly execute arbitrary code via a PSP_COMP_RLE (aka RLE compression) image file that begins a long run count at the end of the image. NOTE: some of these details are obtained from third party information."
},
{
"lang": "es",
"value": "Hay un desbordamiento de b\u00fafer en la regi\u00f3n heap de la memoria en la funci\u00f3n read_channel_data en el archivo psp.c en el plugin Paint Shop Pro (PSP) en GIMP versi\u00f3n 2.6.11 permite a los atacantes remotos generar una denegaci\u00f3n de servicio (posible bloqueo de la aplicaci\u00f3n) o posiblemente ejecutar c\u00f3digo arbitrario por medio de un PSP_COMP_RLE Archivo de imagen (tambi\u00e9n se conoce como RLE compression) que comienza un conteo de ejecuci\u00f3n larga al final de la imagen. NOTA: algunos de estos detalles se obtienen a partir de informaci\u00f3n de terceros."
}
],
"id": "CVE-2010-4543",
"lastModified": "2026-06-16T23:25:01.900",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
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},
"published": "2011-01-07T20:00:05.140",
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"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
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"value": "CWE-787"
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"source": "nvd@nist.gov",
"type": "Primary"
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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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