CVE-2026-46520 (GCVE-0-2026-46520)
Vulnerability from cvelistv5 – Published: 2026-06-10 21:31 – Updated: 2026-07-15 00:50
VLAI
EPSS
VEX
Title
ImageMagick: Heap Buffer Over-Write in IPL decoder when reading multiple images of different dimensions
Summary
ImageMagick is free and open-source software used for editing and manipulating digital images. Prior to versions 6.9.13-48 and 7.1.2-23, when reading multiple images with different dimensions an out of bounds heap write can occur. This issue has been patched in versions 6.9.13-48 and 7.1.2-23.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-11 14:20 UTC
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/ImageMagick/ImageMagick/securi… | x_refsource_CONFIRM |
| https://access.redhat.com/security/cve/CVE-2026-46520 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2487729 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:32961 | vendor-advisoryx_refsource_REDHAT |
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| ImageMagick | ImageMagick |
Affected:
< 6.9.13-48
Affected: < 7.1.2-23 |
guessed | |
| Red Hat | Red Hat Enterprise Linux 7 Extended Lifecycle Support |
Unaffected:
0:6.9.10.68-17.el7_9 , < *
(rpm)
cpe:/o:redhat:rhel_els:7 |
||
| Red Hat | Red Hat Enterprise Linux 6 |
cpe:/o:redhat:enterprise_linux:6
|
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"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-122",
"description": "CWE-122: Heap-based Buffer Overflow",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-787",
"description": "CWE-787: Out-of-bounds Write",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-06-10T21:31:57.105Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/ImageMagick/ImageMagick/security/advisories/GHSA-36wm-hprc-mcf5",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/ImageMagick/ImageMagick/security/advisories/GHSA-36wm-hprc-mcf5"
}
],
"source": {
"advisory": "GHSA-36wm-hprc-mcf5",
"discovery": "UNKNOWN"
},
"title": "ImageMagick: Heap Buffer Over-Write in IPL decoder when reading multiple images of different dimensions"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-46520",
"datePublished": "2026-06-10T21:31:57.105Z",
"dateReserved": "2026-05-14T19:12:32.755Z",
"dateUpdated": "2026-06-30T03:16:12.513Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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