UBUNTU-CVE-2026-106450 (CVE-2026-106450)
Vulnerability from osv_ubuntu – Published: 2026-10-06 20:17 – Updated: 2026-10-17 10:01 – Source website
VLAI
Details
yawkat LZ4 Java provides LZ4 compression for Java. Prior to 1.11.4, net.jpountz.lz4.LZ4FrameInputStream readHeader() allocates two new 4 MiB block buffers whenever a maximum-block-size frame header is read, and the default concatenated-frame mode allows attacker-controlled streams containing many minimal empty frames to trigger roughly 8 MiB of allocation for every 11 input bytes. The stream produces no decompressed output while consuming CPU and garbage-collection time, so decompressed-size limits do not mitigate the issue; readSingleFrame mode is not affected. This issue is fixed in version 1.11.4.
Severity
5.3 (Medium)
N/A (UNKNOWN)
References
{
"affected": [
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "liblz4-java",
"binary_version": "1.5.1-2"
},
{
"binary_name": "liblz4-jni",
"binary_version": "1.5.1-2"
}
]
},
"package": {
"ecosystem": "Ubuntu:20.04:LTS",
"name": "lz4-java",
"purl": "pkg:deb/ubuntu/lz4-java@1.5.1-2?arch=source\u0026distro=focal"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.5.1-2"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "liblz4-java",
"binary_version": "1.5.1-3build1"
},
{
"binary_name": "liblz4-jni",
"binary_version": "1.5.1-3build1"
}
]
},
"package": {
"ecosystem": "Ubuntu:22.04:LTS",
"name": "lz4-java",
"purl": "pkg:deb/ubuntu/lz4-java@1.5.1-3build1?arch=source\u0026distro=jammy"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.5.1-3build1"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "liblz4-java",
"binary_version": "1.8.0-4build1"
},
{
"binary_name": "liblz4-jni",
"binary_version": "1.8.0-4build1"
}
]
},
"package": {
"ecosystem": "Ubuntu:24.04:LTS",
"name": "lz4-java",
"purl": "pkg:deb/ubuntu/lz4-java@1.8.0-4build1?arch=source\u0026distro=noble"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.8.0-3",
"1.8.0-4",
"1.8.0-4build1"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "liblz4-java",
"binary_version": "1.8.0-4build2"
},
{
"binary_name": "liblz4-jni",
"binary_version": "1.8.0-4build2"
}
]
},
"package": {
"ecosystem": "Ubuntu:26.10",
"name": "lz4-java",
"purl": "pkg:deb/ubuntu/lz4-java@1.8.0-4build2?arch=source\u0026distro=stonking"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.8.0-4build2"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "liblz4-java",
"binary_version": "1.8.0-4build2"
},
{
"binary_name": "liblz4-jni",
"binary_version": "1.8.0-4build2"
}
]
},
"package": {
"ecosystem": "Ubuntu:26.04:LTS",
"name": "lz4-java",
"purl": "pkg:deb/ubuntu/lz4-java@1.8.0-4build2?arch=source\u0026distro=resolute"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.8.0-4build1",
"1.8.0-4build2"
]
}
],
"aliases": [],
"details": "yawkat LZ4 Java provides LZ4 compression for Java. Prior to 1.11.4, net.jpountz.lz4.LZ4FrameInputStream readHeader() allocates two new 4 MiB block buffers whenever a maximum-block-size frame header is read, and the default concatenated-frame mode allows attacker-controlled streams containing many minimal empty frames to trigger roughly 8 MiB of allocation for every 11 input bytes. The stream produces no decompressed output while consuming CPU and garbage-collection time, so decompressed-size limits do not mitigate the issue; readSingleFrame mode is not affected. This issue is fixed in version 1.11.4.",
"id": "UBUNTU-CVE-2026-106450",
"modified": "2026-10-17T10:01:21Z",
"published": "2026-10-06T20:17:00Z",
"references": [
{
"type": "REPORT",
"url": "https://ubuntu.com/security/CVE-2026-106450"
},
{
"type": "REPORT",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-106450"
},
{
"type": "REPORT",
"url": "https://github.com/yawkat/lz4-java/security/advisories/GHSA-gm45-99xc-r7wv"
}
],
"related": [],
"schema_version": "1.7.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L",
"type": "CVSS_V3"
},
{
"score": "medium",
"type": "Ubuntu"
}
],
"upstream": [
"CVE-2026-106450"
]
}
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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.
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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