UBUNTU-CVE-2026-59990 (CVE-2026-59990)
Vulnerability from osv_ubuntu – Published: 2026-09-24 00:00 – Updated: 2026-09-24 00:00 – Source website
VLAI
Details
Jawn is an open source JSON parser. Prior to 1.7.0, Jawn parse methods accept arbitrarily deep JSON array and object nesting without a depth limit, allowing a remote attacker who can submit untrusted JSON to grow parser contexts until the JVM heap is exhausted. The resulting java.lang.OutOfMemoryError is a fatal Scala error that is not ordinarily handled by scala.util.Try or cats.effect.IO, causing denial of service. This issue is fixed in version 1.7.0.
Severity
7.5 (High)
N/A (UNKNOWN)
References
{
"affected": [
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libjawn-java",
"binary_version": "0.11.1+really0.6.0-1"
}
]
},
"package": {
"ecosystem": "Ubuntu:20.04:LTS",
"name": "jawn",
"purl": "pkg:deb/ubuntu/jawn@0.11.1+really0.6.0-1?arch=source\u0026distro=focal"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.11.1+really0.6.0-1"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libjawn-java",
"binary_version": "0.11.1+really0.6.0-1"
}
]
},
"package": {
"ecosystem": "Ubuntu:22.04:LTS",
"name": "jawn",
"purl": "pkg:deb/ubuntu/jawn@0.11.1+really0.6.0-1?arch=source\u0026distro=jammy"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.11.1+really0.6.0-1"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libjawn-java",
"binary_version": "0.11.1+really0.6.0-1"
}
]
},
"package": {
"ecosystem": "Ubuntu:24.04:LTS",
"name": "jawn",
"purl": "pkg:deb/ubuntu/jawn@0.11.1+really0.6.0-1?arch=source\u0026distro=noble"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.11.1+really0.6.0-1"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libjawn-java",
"binary_version": "0.11.1+really0.6.0-1build1"
}
]
},
"package": {
"ecosystem": "Ubuntu:26.04:LTS",
"name": "jawn",
"purl": "pkg:deb/ubuntu/jawn@0.11.1+really0.6.0-1build1?arch=source\u0026distro=resolute"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.11.1+really0.6.0-1",
"0.11.1+really0.6.0-1build1"
]
}
],
"aliases": [],
"details": "Jawn is an open source JSON parser. Prior to 1.7.0, Jawn parse methods accept arbitrarily deep JSON array and object nesting without a depth limit, allowing a remote attacker who can submit untrusted JSON to grow parser contexts until the JVM heap is exhausted. The resulting java.lang.OutOfMemoryError is a fatal Scala error that is not ordinarily handled by scala.util.Try or cats.effect.IO, causing denial of service. This issue is fixed in version 1.7.0.",
"id": "UBUNTU-CVE-2026-59990",
"modified": "2026-09-24T00:00:00Z",
"published": "2026-09-24T00:00:00Z",
"references": [
{
"type": "REPORT",
"url": "https://ubuntu.com/security/CVE-2026-59990"
},
{
"type": "REPORT",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59990"
},
{
"type": "REPORT",
"url": "https://github.com/typelevel/jawn/commit/191cb3a44e77f1afab439ee636bf66bdf3c54a04"
},
{
"type": "REPORT",
"url": "https://github.com/typelevel/jawn/commit/6219666641f9408498f85868f835e17bd8a72fed"
},
{
"type": "REPORT",
"url": "https://github.com/typelevel/jawn/commit/93ac93e9c992c11b4c03d5455d8551f9fb24da1b"
},
{
"type": "REPORT",
"url": "https://github.com/typelevel/jawn/commit/f6ace7e0db715de1a8c4618bed9378333a5c2214"
},
{
"type": "REPORT",
"url": "https://github.com/typelevel/jawn/releases/tag/v1.7.0"
},
{
"type": "REPORT",
"url": "https://github.com/typelevel/jawn/security/advisories/GHSA-cc4v-rvgp-2pf3"
}
],
"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:H",
"type": "CVSS_V3"
},
{
"score": "medium",
"type": "Ubuntu"
}
],
"upstream": [
"CVE-2026-59990"
]
}
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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
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- Confirmed: The vulnerability has been validated from an analyst's perspective.
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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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