FKIE_CVE-2017-5510
Vulnerability from fkie_nvd - Published: 2017-03-24 15:59 - Updated: 2026-06-17 01:20
Severity
Summary
coders/psd.c in ImageMagick allows remote attackers to have unspecified impact via a crafted PSD file, which triggers an out-of-bounds write.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| imagemagick | imagemagick | * | |
| imagemagick | imagemagick | * | |
| debian | debian_linux | 8.0 | |
| debian | debian_linux | 9.0 | |
| debian | debian_linux | 10.0 |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "security@debian.org"
}
],
"configurations": [
{
"nodes": [
{
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"criteria": "cpe:2.3:a:imagemagick:imagemagick:*:*:*:*:*:*:*:*",
"matchCriteriaId": "5656B565-C8B4-43A8-94D4-EA0144FEACE6",
"versionEndExcluding": "6.9.7-4",
"vulnerable": true
},
{
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"matchCriteriaId": "800DAD3F-CB8C-40F8-8DE6-A1354E72F75D",
"versionEndExcluding": "7.0.4-4",
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"negate": false,
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},
{
"nodes": [
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "coders/psd.c in ImageMagick allows remote attackers to have unspecified impact via a crafted PSD file, which triggers an out-of-bounds write."
},
{
"lang": "es",
"value": "Coders/psd.c en ImageMagick permite a los atacantes remotos tener un impacto no especificado a trav\u00e9s de un archivo PSD manipulado, lo que desencadena una escritura fuera de los l\u00edmites."
}
],
"id": "CVE-2017-5510",
"lastModified": "2026-06-17T01:20:38.853",
"metrics": {
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"acInsufInfo": false,
"baseSeverity": "MEDIUM",
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"accessVector": "NETWORK",
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"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
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"cvssMetricV31": [
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"published": "2017-03-24T15:59:01.170",
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{
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],
"sourceIdentifier": "security@debian.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"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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