GSD-2022-2422
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Due to improper input validation in the Feathers js library, it is possible to perform a SQL injection attack on the back-end database, in case the feathers-sequelize package is used.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-2422",
"description": "Due to improper input validation in the Feathers js library, it is possible to perform a SQL injection attack on the back-end database, in case the feathers-sequelize package is used.",
"id": "GSD-2022-2422"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-2422"
],
"details": "Due to improper input validation in the Feathers js library, it is possible to perform a SQL injection attack on the back-end database, in case the feathers-sequelize package is used.",
"id": "GSD-2022-2422",
"modified": "2023-12-13T01:19:19.833337Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "csirt@divd.nl",
"ID": "CVE-2022-2422",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Feathers-Sequalize",
"version": {
"version_data": [
{
"version_affected": "\u003c",
"version_name": "6.x",
"version_value": "6.3.4"
}
]
}
}
]
},
"vendor_name": "Feather js"
}
]
}
},
"credits": [
{
"lang": "en",
"value": "Discovered by Thomas Rinsma and Kevin Valk (Codean)"
}
],
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "Due to improper input validation in the Feathers js library, it is possible to perform a SQL injection attack on the back-end database, in case the feathers-sequelize package is used."
}
]
},
"generator": {
"engine": "Vulnogram 0.0.9"
},
"impact": {
"cvss": [
{
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 10,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"cweId": "CWE-89",
"lang": "eng",
"value": "CWE-89 SQL Injection"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://csirt.divd.nl/DIVD-2022-00020",
"refsource": "MISC",
"url": "https://csirt.divd.nl/DIVD-2022-00020"
},
{
"name": "https://csirt.divd.nl/CVE-2022-2422",
"refsource": "MISC",
"url": "https://csirt.divd.nl/CVE-2022-2422"
}
]
},
"source": {
"advisory": "DIVD-2022-00020",
"discovery": "EXTERNAL"
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003e=6.0.0 \u003c6.3.4",
"affected_versions": "All versions starting from 6.0.0 before 6.3.4",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-89",
"CWE-937"
],
"date": "2023-07-28",
"description": "Due to improper input validation in the Feathers js library, it is possible to perform a SQL injection attack on the back-end database, in case the feathers-sequelize package is used.",
"fixed_versions": [
"6.3.4"
],
"identifier": "CVE-2022-2422",
"identifiers": [
"CVE-2022-2422"
],
"not_impacted": "All versions before 6.0.0, all versions starting from 6.3.4",
"package_slug": "npm/feathers-sequelize",
"pubdate": "2022-10-26",
"solution": "Upgrade to version 6.3.4 or above.",
"title": "Improper Neutralization of Special Elements used in an SQL Command (\u0027SQL Injection\u0027)",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2022-2422",
"https://csirt.divd.nl/cases/DIVD-2022-00020",
"https://csirt.divd.nl/cves/CVE-2022-2422"
],
"uuid": "7007a438-9c6a-45f5-a76f-f235ec9b9509"
}
]
},
"nvd.nist.gov": {
"cve": {
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:feathersjs:feathers-sequelize:*:*:*:*:*:node.js:*:*",
"matchCriteriaId": "D774E13F-E66A-4F0B-9AE2-55671506913E",
"versionEndExcluding": "6.3.4",
"versionStartIncluding": "6.0.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Due to improper input validation in the Feathers js library, it is possible to perform a SQL injection attack on the back-end database, in case the feathers-sequelize package is used."
},
{
"lang": "es",
"value": "Debido a una incorrecta comprobaci\u00f3n de entradas en la biblioteca js Feathers, es posible llevar a cabo un ataque de inyecci\u00f3n SQL en la base de datos del back-end, en caso de que sea usado el paquete feathers-sequelize"
}
],
"id": "CVE-2022-2422",
"lastModified": "2024-01-02T19:15:09.690",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 10.0,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 6.0,
"source": "csirt@divd.nl",
"type": "Secondary"
}
]
},
"published": "2022-10-26T10:15:16.993",
"references": [
{
"source": "csirt@divd.nl",
"tags": [
"Third Party Advisory"
],
"url": "https://csirt.divd.nl/CVE-2022-2422"
},
{
"source": "csirt@divd.nl",
"tags": [
"Third Party Advisory"
],
"url": "https://csirt.divd.nl/DIVD-2022-00020"
}
],
"sourceIdentifier": "csirt@divd.nl",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-89"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-89"
}
],
"source": "csirt@divd.nl",
"type": "Secondary"
}
]
}
}
}
}
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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.
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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