CVE-2026-19204 (GCVE-0-2026-19204)
Vulnerability from cvelistv5 – Published: 2026-09-07 10:19 – Updated: 2026-09-07 10:19
VLAI
EPSS
VEX
Summary
A client may send a WebSocket frame with an unknown opcode and a very large declared payload length, causing Jetty to attempt a large memory allocation and potentially exhaust the JVM heap.
This occurs when auto-fragmentation is enabled, as unknown opcodes bypass the normal maximum frame size handling and payload allocation occurs before the opcode is validated.
Severity
CWE
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Eclipse Foundation | Eclipse Jetty |
Affected:
12.1.0 , ≤ 12.1.11
(semver)
Affected: 12.0.0 , ≤ 12.0.37 (semver) Affected: 11.0.0 , ≤ 11.0.31 (semver) Affected: 10.0.0 , ≤ 10.0.31 (semver) |
guessed |
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"credits": [
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"type": "reporter",
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"type": "reporter",
"value": "David Korczynski"
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"lang": "en",
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"metrics": [
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"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
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"attackRequirements": "NONE",
"attackVector": "NETWORK",
"baseScore": 8.7,
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"exploitMaturity": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
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"userInteraction": "NONE",
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"descriptions": [
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"description": "CWE-770 Allocation of resources without limits or throttling",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-789",
"description": "CWE-789 Memory allocation with excessive size value",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-09-07T10:19:24.186Z",
"orgId": "e51fbebd-6053-4e49-959f-1b94eeb69a2c",
"shortName": "eclipse"
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"references": [
{
"url": "https://github.com/jetty/jetty.project/security/advisories/GHSA-85fq-fc5f-7j7g"
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"source": {
"discovery": "UNKNOWN"
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"cveId": "CVE-2026-19204",
"datePublished": "2026-09-07T10:19:24.186Z",
"dateReserved": "2026-08-07T07:33:05.744Z",
"dateUpdated": "2026-09-07T10:19:24.186Z",
"state": "PUBLISHED"
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"vulnerability-lookup:meta": {
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}
}
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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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