FKIE_CVE-2023-1729
Vulnerability from fkie_nvd - Published: 2023-05-15 22:15 - Updated: 2026-06-17 05:28
Severity
Summary
A flaw was found in LibRaw. A heap-buffer-overflow in raw2image_ex() caused by a maliciously crafted file may lead to an application crash.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| libraw | libraw | * | |
| fedoraproject | fedora | 37 | |
| fedoraproject | fedora | 38 | |
| redhat | enterprise_linux | 7.0 | |
| redhat | enterprise_linux | 8.0 | |
| redhat | enterprise_linux | 9.0 |
{
"affected": [
{
"affectedData": [
{
"product": "LibRaw",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "LibRaw 0.21.1"
}
]
}
],
"source": "secalert@redhat.com"
}
],
"configurations": [
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"matchCriteriaId": "0218F3FC-B5F8-4B58-AB04-834FAA1BED12",
"versionEndExcluding": "0.21.2",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
},
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"vulnerable": true
},
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A flaw was found in LibRaw. A heap-buffer-overflow in raw2image_ex() caused by a maliciously crafted file may lead to an application crash."
}
],
"id": "CVE-2023-1729",
"lastModified": "2026-06-17T05:28:37.760",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2023-05-15T22:15:10.350",
"references": [
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"tags": [
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"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2188240"
},
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},
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{
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{
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"tags": [
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"url": "https://www.debian.org/security/2023/dsa-5412"
}
],
"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-119"
}
],
"source": "secalert@redhat.com",
"type": "Secondary"
},
{
"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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