GHSA-C3V7-QG69-38RX
Vulnerability from github – Published: 2026-08-25 12:31 – Updated: 2026-08-25 12:31
VLAI
Details
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.
Severity
{
"affected": [],
"aliases": [
"CVE-2026-12600"
],
"database_specific": {
"cwe_ids": [
"CWE-400"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-25T11:16:50Z",
"severity": "HIGH"
},
"details": "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.",
"id": "GHSA-c3v7-qg69-38rx",
"modified": "2026-08-25T12:31:22Z",
"published": "2026-08-25T12:31:22Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-12600"
},
{
"type": "WEB",
"url": "https://www.incibe.es/en/incibe-cert/notices/aviso/uncontrolled-memory-usage-innodata-labs-poppler-jpx-decoderuncontrolled"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "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",
"type": "CVSS_V4"
}
]
}
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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.
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.
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