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oesa-2026-1620
Vulnerability from osv_openeuler
OpenEXR is a high dynamic-range (HDR) image file format originally developed by Industrial Light & Magic for use in computer imaging applications.
Security Fix(es):
OpenEXR provides the specification and reference implementation of the EXR file format, an image storage format for the motion picture industry. In CompositeDeepScanLine::readPixels, per-pixel totals are accumulated in vector<unsigned int> total_sizes for attacker-controlled large counts across many parts, total_sizes[ptr] wraps modulo 2^32. overall_sample_count is then derived from wrapped totals and used in samples[channel].resize(overall_sample_count). Decode pointer setup/consumption proceeds with true sample counts, and write operations in core unpack (generic_unpack_deep_pointers) overrun the undersized composite sample buffer. This vulnerability is fixed in v3.2.6, v3.3.8, and v3.4.6.(CVE-2026-27622)
| URL | Type | |
|---|---|---|
{
"affected": [
{
"ecosystem_specific": {
"aarch64": [
"OpenEXR-3.1.5-5.oe2203sp4.aarch64.rpm",
"OpenEXR-debuginfo-3.1.5-5.oe2203sp4.aarch64.rpm",
"OpenEXR-debugsource-3.1.5-5.oe2203sp4.aarch64.rpm",
"OpenEXR-devel-3.1.5-5.oe2203sp4.aarch64.rpm",
"OpenEXR-libs-3.1.5-5.oe2203sp4.aarch64.rpm"
],
"src": [
"OpenEXR-3.1.5-5.oe2203sp4.src.rpm"
],
"x86_64": [
"OpenEXR-3.1.5-5.oe2203sp4.x86_64.rpm",
"OpenEXR-debuginfo-3.1.5-5.oe2203sp4.x86_64.rpm",
"OpenEXR-debugsource-3.1.5-5.oe2203sp4.x86_64.rpm",
"OpenEXR-devel-3.1.5-5.oe2203sp4.x86_64.rpm",
"OpenEXR-libs-3.1.5-5.oe2203sp4.x86_64.rpm"
]
},
"package": {
"ecosystem": "openEuler:22.03-LTS-SP4",
"name": "OpenEXR",
"purl": "pkg:rpm/openEuler/OpenEXR\u0026distro=openEuler-22.03-LTS-SP4"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.1.5-5.oe2203sp4"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"severity": "High"
},
"details": "OpenEXR is a high dynamic-range (HDR) image file format originally developed by Industrial Light \u0026amp;amp; Magic for use in computer imaging applications.\r\n\r\nSecurity Fix(es):\n\nOpenEXR provides the specification and reference implementation of the EXR file format, an image storage format for the motion picture industry. In CompositeDeepScanLine::readPixels, per-pixel totals are accumulated in vector\u0026lt;unsigned int\u0026gt; total_sizes for attacker-controlled large counts across many parts, total_sizes[ptr] wraps modulo 2^32. overall_sample_count is then derived from wrapped totals and used in samples[channel].resize(overall_sample_count). Decode pointer setup/consumption proceeds with true sample counts, and write operations in core unpack (generic_unpack_deep_pointers) overrun the undersized composite sample buffer. This vulnerability is fixed in v3.2.6, v3.3.8, and v3.4.6.(CVE-2026-27622)",
"id": "OESA-2026-1620",
"modified": "2026-03-15T07:31:34Z",
"published": "2026-03-15T07:31:34Z",
"references": [
{
"type": "ADVISORY",
"url": "https://www.openeuler.org/zh/security/security-bulletins/detail/?id=openEuler-SA-2026-1620"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-27622"
}
],
"schema_version": "1.7.2",
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{
"score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "OpenEXR security update",
"upstream": [
"CVE-2026-27622"
]
}
CVE-2026-27622 (GCVE-0-2026-27622)
Vulnerability from cvelistv5 – Published: 2026-03-03 22:42 – Updated: 2026-09-09 12:04| Vendor | Product | Version | |
|---|---|---|---|
| AcademySoftwareFoundation | openexr |
Affected:
>= 2.3.0, < 3.2.6
Affected: >= 3.3.0, < 3.3.8 Affected: >= 3.4.0, < 3.4.6 |
|
| Red Hat | Red Hat Enterprise Linux 10 |
Unaffected:
0:3.1.10-8.el10_1.1 , < *
(rpm)
cpe:/o:redhat:enterprise_linux:10.1 |
|
| Red Hat | Red Hat Enterprise Linux 10.0 Extended Update Support |
Unaffected:
0:3.1.10-8.el10_0.1 , < *
(rpm)
cpe:/o:redhat:enterprise_linux_eus:10.0 |
|
| Red Hat | Red Hat Enterprise Linux 8 |
Unaffected:
0:2.2.0-12.el8_10.1 , < *
(rpm)
cpe:/a:redhat:enterprise_linux:8 |
|
| Red Hat | Red Hat Enterprise Linux 8.2 Advanced Update Support |
Unaffected:
0:2.2.0-11.el8_2.1 , < *
(rpm)
cpe:/a:redhat:rhel_aus:8.2 |
|
| Red Hat | Red Hat Enterprise Linux 8.4 Advanced Mission Critical Update Support |
Unaffected:
0:2.2.0-12.el8_4.1 , < *
(rpm)
cpe:/a:redhat:rhel_aus:8.4 |
|
| Red Hat | Red Hat Enterprise Linux 8.4 Extended Update Support Long-Life Add-On |
Unaffected:
0:2.2.0-12.el8_4.1 , < *
(rpm)
cpe:/a:redhat:rhel_eus_long_life:8.4 |
|
| Red Hat | Red Hat Enterprise Linux 8.6 Advanced Mission Critical Update Support |
Unaffected:
0:2.2.0-12.el8_6.1 , < *
(rpm)
cpe:/a:redhat:rhel_aus:8.6 |
|
| Red Hat | Red Hat Enterprise Linux 8.6 Telecommunications Update Service |
Unaffected:
0:2.2.0-12.el8_6.1 , < *
(rpm)
cpe:/a:redhat:rhel_tus:8.6 |
|
| Red Hat | Red Hat Enterprise Linux 8.6 Update Services for SAP Solutions |
Unaffected:
0:2.2.0-12.el8_6.1 , < *
(rpm)
cpe:/a:redhat:rhel_e4s:8.6 |
|
| Red Hat | Red Hat Enterprise Linux 8.8 Telecommunications Update Service |
Unaffected:
0:2.2.0-12.el8_8.1 , < *
(rpm)
cpe:/a:redhat:rhel_tus:8.8 |
|
| Red Hat | Red Hat Enterprise Linux 8.8 Update Services for SAP Solutions |
Unaffected:
0:2.2.0-12.el8_8.1 , < *
(rpm)
cpe:/a:redhat:rhel_e4s:8.8 |
|
| Red Hat | Red Hat Enterprise Linux 9 |
Unaffected:
0:3.1.1-3.el9_7.1 , < *
(rpm)
cpe:/a:redhat:enterprise_linux:9 |
|
| Red Hat | Red Hat Enterprise Linux 9.0 Update Services for SAP Solutions |
Unaffected:
0:3.1.1-2.el9_0.2 , < *
(rpm)
cpe:/a:redhat:rhel_e4s:9.0 |
|
| Red Hat | Red Hat Enterprise Linux 9.2 Update Services for SAP Solutions |
Unaffected:
0:3.1.1-2.el9_2.2 , < *
(rpm)
cpe:/a:redhat:rhel_e4s:9.2 |
|
| Red Hat | Red Hat Enterprise Linux 9.4 Extended Update Support |
Unaffected:
0:3.1.1-2.el9_4.2 , < *
(rpm)
cpe:/a:redhat:rhel_eus:9.4 |
|
| Red Hat | Red Hat Enterprise Linux 9.6 Extended Update Support |
Unaffected:
0:3.1.1-3.el9_6.1 , < *
(rpm)
cpe:/a:redhat:rhel_eus:9.6 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1778244559 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1778244531 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1778274666 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1778244546 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux 6 |
cpe:/o:redhat:enterprise_linux:6
|
|
| Red Hat | Red Hat Enterprise Linux 7 |
cpe:/o:redhat:enterprise_linux:7
|
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{
"tags": [
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{
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"url": "https://access.redhat.com/errata/RHSA-2026:8869"
},
{
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"solutions": [
{
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"value": "RHSA-2026:7678: Red Hat Enterprise Linux AppStream EUS (v. 10.0)"
},
{
"lang": "en",
"value": "RHSA-2026:7682: Red Hat Enterprise Linux AppStream (v. 10), Red Hat Enterprise Linux CodeReady Linux Builder (v. 10)"
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{
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"value": "RHSA-2026:8863: Red Hat Enterprise Linux AppStream (v. 8), Red Hat Enterprise Linux CRB (v. 8)"
},
{
"lang": "en",
"value": "RHSA-2026:12340: Red Hat Enterprise Linux AppStream AUS (v. 8.2)"
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{
"lang": "en",
"value": "RHSA-2026:12341: Red Hat Enterprise Linux AppStream AUS (v.8.4), Red Hat Enterprise Linux AppStream EUS EXTENSION (v.8.4)"
},
{
"lang": "en",
"value": "RHSA-2026:12339: Red Hat Enterprise Linux AppStream AUS (v.8.6), Red Hat Enterprise Linux AppStream E4S (v.8.6), Red Hat Enterprise Linux AppStream TUS (v.8.6)"
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{
"lang": "en",
"value": "RHSA-2026:12338: Red Hat Enterprise Linux AppStream E4S (v.8.8), Red Hat Enterprise Linux AppStream TUS (v.8.8)"
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{
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{
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},
{
"lang": "en",
"value": "RHSA-2026:8872: Red Hat CodeReady Linux Builder EUS (v.9.6), Red Hat Enterprise Linux AppStream EUS (v.9.6)"
},
{
"lang": "en",
"value": "RHSA-2026:8888: Red Hat Enterprise Linux AppStream (v. 9), Red Hat Enterprise Linux CodeReady Linux Builder (v. 9)"
},
{
"lang": "en",
"value": "RHSA-2026:16008: Red Hat AI Inference Server 3.3"
},
{
"lang": "en",
"value": "RHSA-2026:16030: Red Hat AI Inference Server 3.3"
},
{
"lang": "en",
"value": "RHSA-2026:16009: Red Hat AI Inference Server 3.3"
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"lang": "en",
"value": "RHSA-2026:16174: Red Hat AI Inference Server 3.3"
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],
"timeline": [
{
"lang": "en",
"time": "2026-03-03T23:02:15.379Z",
"value": "Reported to Red Hat."
},
{
"lang": "en",
"time": "2026-03-03T22:42:49.086Z",
"value": "Made public."
}
],
"title": "openexr: OpenEXR: Arbitrary code execution via integer overflow in EXR file processing",
"workarounds": [
{
"lang": "en",
"value": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability."
}
],
"x_adpType": "supplier",
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}
],
"cna": {
"affected": [
{
"product": "openexr",
"vendor": "AcademySoftwareFoundation",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.3.0, \u003c 3.2.6"
},
{
"status": "affected",
"version": "\u003e= 3.3.0, \u003c 3.3.8"
},
{
"status": "affected",
"version": "\u003e= 3.4.0, \u003c 3.4.6"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "OpenEXR provides the specification and reference implementation of the EXR file format, an image storage format for the motion picture industry. In CompositeDeepScanLine::readPixels, per-pixel totals are accumulated in vector\u003cunsigned int\u003e total_sizes for attacker-controlled large counts across many parts, total_sizes[ptr] wraps modulo 2^32. overall_sample_count is then derived from wrapped totals and used in samples[channel].resize(overall_sample_count). Decode pointer setup/consumption proceeds with true sample counts, and write operations in core unpack (generic_unpack_deep_pointers) overrun the undersized composite sample buffer. This vulnerability is fixed in v3.2.6, v3.3.8, and v3.4.6."
}
],
"metrics": [
{
"cvssV4_0": {
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "LOCAL",
"baseScore": 8.4,
"baseSeverity": "HIGH",
"privilegesRequired": "NONE",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "ACTIVE",
"vectorString": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-787",
"description": "CWE-787: Out-of-bounds Write",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-03-03T22:42:49.086Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/AcademySoftwareFoundation/openexr/security/advisories/GHSA-cr4v-6jm6-4963",
"tags": [
"x_refsource_CONFIRM"
],
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}
],
"source": {
"advisory": "GHSA-cr4v-6jm6-4963",
"discovery": "UNKNOWN"
},
"title": "OpenEXR CompositeDeepScanLine integer-overflow leads to heap OOB write"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-27622",
"datePublished": "2026-03-03T22:42:49.086Z",
"dateReserved": "2026-02-20T22:02:30.027Z",
"dateUpdated": "2026-09-09T12:04:51.973Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
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.
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.
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.