CVE-2026-106113 (GCVE-0-2026-106113)
Vulnerability from cvelistv5 – Published: 2026-10-06 17:47 – Updated: 2026-10-06 17:47
VLAI
EPSS
VEX
Title
ImageSharp: HistogramEqualization uses an unvalidated luminance as an unchecked histogram index
Summary
ImageSharp is a 2D graphics library. From 2.0.0 until 4.1.2, decoding an attacker-supplied 32-bit floating-point TIFF as Image<HalfVector4> and applying HistogramEqualization can produce a non-finite or out-of-range luminance in ColorNumerics.GetBT709Luminance. GrayscaleLevelsRowOperation.Invoke uses the resulting value as an unchecked histogram offset, causing an unsafe out-of-range access and process termination. Adaptive Histogram Equalization and AutoLevel are not affected by this report. This issue is fixed in version 4.1.2.
Severity
7.5 (High)
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/SixLabors/ImageSharp/security/… | x_refsource_CONFIRM |
| https://github.com/SixLabors/ImageSharp/pull/3187 | x_refsource_MISC |
| https://github.com/SixLabors/ImageSharp/commit/c4… | x_refsource_MISC |
| https://github.com/SixLabors/ImageSharp/releases/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SixLabors | ImageSharp |
Affected:
>= 2.0.0, < 4.1.2
|
guessed |
{
"containers": {
"cna": {
"affected": [
{
"product": "ImageSharp",
"vendor": "SixLabors",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.0.0, \u003c 4.1.2"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "ImageSharp is a 2D graphics library. From 2.0.0 until 4.1.2, decoding an attacker-supplied 32-bit floating-point TIFF as Image\u003cHalfVector4\u003e and applying HistogramEqualization can produce a non-finite or out-of-range luminance in ColorNumerics.GetBT709Luminance. GrayscaleLevelsRowOperation.Invoke uses the resulting value as an unchecked histogram offset, causing an unsafe out-of-range access and process termination. Adaptive Histogram Equalization and AutoLevel are not affected by this report. This issue is fixed in version 4.1.2."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-787",
"description": "CWE-787: Out-of-bounds Write",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-10-06T17:47:17.503Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/SixLabors/ImageSharp/security/advisories/GHSA-j3p4-wp97-rph4",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/SixLabors/ImageSharp/security/advisories/GHSA-j3p4-wp97-rph4"
},
{
"name": "https://github.com/SixLabors/ImageSharp/pull/3187",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/SixLabors/ImageSharp/pull/3187"
},
{
"name": "https://github.com/SixLabors/ImageSharp/commit/c4c4bf292298c026df470db1a17ff826515fd95d",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/SixLabors/ImageSharp/commit/c4c4bf292298c026df470db1a17ff826515fd95d"
},
{
"name": "https://github.com/SixLabors/ImageSharp/releases/tag/v4.1.2",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/SixLabors/ImageSharp/releases/tag/v4.1.2"
}
],
"source": {
"advisory": "GHSA-j3p4-wp97-rph4",
"discovery": "UNKNOWN"
},
"title": "ImageSharp: HistogramEqualization uses an unvalidated luminance as an unchecked histogram index"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-106113",
"datePublished": "2026-10-06T17:47:17.503Z",
"dateReserved": "2026-10-06T15:33:55.333Z",
"dateUpdated": "2026-10-06T17:47:17.503Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"product": "ImageSharp",
"vendor": "SixLabors",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.0.0, \u003c 4.1.2"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "ImageSharp is a 2D graphics library. From 2.0.0 until 4.1.2, decoding an attacker-supplied 32-bit floating-point TIFF as Image\u003cHalfVector4\u003e and applying HistogramEqualization can produce a non-finite or out-of-range luminance in ColorNumerics.GetBT709Luminance. GrayscaleLevelsRowOperation.Invoke uses the resulting value as an unchecked histogram offset, causing an unsafe out-of-range access and process termination. Adaptive Histogram Equalization and AutoLevel are not affected by this report. This issue is fixed in version 4.1.2."
}
],
"id": "CVE-2026-106113",
"lastModified": "2026-10-06T20:03:40.690",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
},
"published": "2026-10-06T18:16:52.953",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/SixLabors/ImageSharp/commit/c4c4bf292298c026df470db1a17ff826515fd95d"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/SixLabors/ImageSharp/pull/3187"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/SixLabors/ImageSharp/releases/tag/v4.1.2"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/SixLabors/ImageSharp/security/advisories/GHSA-j3p4-wp97-rph4"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Awaiting Analysis",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-787"
}
],
"source": "security-advisories@github.com",
"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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