FKIE_CVE-2026-12600
Vulnerability from fkie_nvd - Published: 2026-08-25 11:16 - Updated: 2026-09-28 23:10
Severity
Summary
Denial-of-service (DoS) vulnerability in the internal JPEG2000 (JPX) decoding implementation of the Poppler fork developed by Innodata Labs. When an application processes an untrusted PDF file containing specially crafted JPXDecode images, a remote attacker can cause uncontrolled memory consumption. The flaw occurs in the JPXStream::readCodestream() function, where values controlled from the SIZ segment (such as img.nComps) are used for the memory allocation of tiles and components without adequate validation. This allows an attacker to force excessive memory allocation and cause a resource exhaustion, ultimately causing the pdftoppm process to terminate due to out-of-memory (OOM) conditions.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Innodata Labs",
"vendor": "Poppler",
"versions": [
{
"lessThan": "25/08/2026",
"status": "affected",
"version": "0",
"versionType": "date"
}
]
}
],
"source": "cve-coordination@incibe.es"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Denial-of-service (DoS) vulnerability in the internal JPEG2000 (JPX) decoding implementation of the Poppler fork developed by Innodata Labs. When an application processes an untrusted PDF file containing specially crafted JPXDecode images, a remote attacker can cause uncontrolled memory consumption. The flaw occurs in the JPXStream::readCodestream() function, where values controlled from the SIZ segment (such as img.nComps) are used for the memory allocation of tiles and components without adequate validation. This allows an attacker to force excessive memory allocation and cause a resource exhaustion, ultimately causing the pdftoppm process to terminate due to out-of-memory (OOM) conditions."
},
{
"lang": "es",
"value": "Vulnerabilidad de denegaci\u00f3n de servicio (DoS) en la implementaci\u00f3n interna de decodificaci\u00f3n JPEG2000 (JPX) de la bifurcaci\u00f3n de Poppler desarrollada por Innodata Labs. Cuando una aplicaci\u00f3n procesa un archivo PDF no confiable que contiene im\u00e1genes JPXDecode especialmente manipuladas, un atacante remoto puede causar un consumo de memoria incontrolado. La falla ocurre en la funci\u00f3n JPXStream::readCodestream(), donde los valores controlados desde el segmento SIZ (como img.nComps) se utilizan para la asignaci\u00f3n de memoria de mosaicos y componentes sin una validaci\u00f3n adecuada. Esto permite a un atacante forzar una asignaci\u00f3n de memoria excesiva y causar un agotamiento de recursos, lo que finalmente provoca la terminaci\u00f3n del proceso pdftoppm debido a condiciones de falta de memoria (OOM)."
}
],
"id": "CVE-2026-12600",
"lastModified": "2026-09-28T23:10:00.143",
"metrics": {
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 8.7,
"baseSeverity": "HIGH",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "NONE",
"vulnIntegrityImpact": "NONE",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "cve-coordination@incibe.es",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-12600",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-25T13:10:04.940829Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-25T11:16:50.383",
"references": [
{
"source": "cve-coordination@incibe.es",
"url": "https://www.incibe.es/en/incibe-cert/notices/aviso/uncontrolled-memory-usage-innodata-labs-poppler-jpx-decoderuncontrolled"
}
],
"sourceIdentifier": "cve-coordination@incibe.es",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-400"
}
],
"source": "cve-coordination@incibe.es",
"type": "Secondary"
}
]
}
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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.
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- 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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