ubuntu-cve-2026-85063
Vulnerability from osv_ubuntu
Published
2026-09-04 00:00
Modified
2026-09-04 00:00
Summary
Details
node-csv is a full-featured CSV parser with a simple API that is tested against large datasets. Prior to 7.0.2, csv-parse with the columns and group_columns_by_name options enabled treats a duplicate proto header as an existing property in packages/csv-parse/lib/api/index.js, assigns an attacker-controlled array through obj['proto'], and replaces the parsed record object's prototype. A malicious CSV header can therefore inject inherited array values into the returned record, hide those inherited values from JSON serialization, and affect property enumeration and type or shape checks in applications that process the record. This issue is fixed in version 7.0.2.
Severity
N/A (UNKNOWN)
References
{
"affected": [
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "node-csv-parse",
"binary_version": "6.1.0-1"
}
]
},
"package": {
"ecosystem": "Ubuntu:26.04:LTS",
"name": "node-csv-parse",
"purl": "pkg:deb/ubuntu/node-csv-parse@6.1.0-1?arch=source\u0026distro=resolute"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"6.0.0-1",
"6.1.0-1"
]
}
],
"aliases": [],
"details": "node-csv is a full-featured CSV parser with a simple API that is tested against large datasets. Prior to 7.0.2, csv-parse with the columns and group_columns_by_name options enabled treats a duplicate __proto__ header as an existing property in packages/csv-parse/lib/api/index.js, assigns an attacker-controlled array through obj[\u0027__proto__\u0027], and replaces the parsed record object\u0027s prototype. A malicious CSV header can therefore inject inherited array values into the returned record, hide those inherited values from JSON serialization, and affect property enumeration and type or shape checks in applications that process the record. This issue is fixed in version 7.0.2.",
"id": "UBUNTU-CVE-2026-85063",
"modified": "2026-09-04T00:00:00Z",
"published": "2026-09-04T00:00:00Z",
"references": [
{
"type": "REPORT",
"url": "https://ubuntu.com/security/CVE-2026-85063"
},
{
"type": "REPORT",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-85063"
},
{
"type": "REPORT",
"url": "https://github.com/adaltas/node-csv/security/advisories/GHSA-8cw4-87c7-c6xx"
},
{
"type": "REPORT",
"url": "https://github.com/adaltas/node-csv/issues/496"
},
{
"type": "REPORT",
"url": "https://github.com/adaltas/node-csv/pull/497"
},
{
"type": "REPORT",
"url": "https://github.com/adaltas/node-csv/commit/eb4d1484589c976dcb977db8dd0b90e015a6f66e"
}
],
"related": [],
"schema_version": "1.7.0",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:L/VA:L/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
},
{
"score": "medium",
"type": "Ubuntu"
}
],
"upstream": [
"CVE-2026-85063"
]
}
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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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