FKIE_CVE-2021-21304
Vulnerability from fkie_nvd - Published: 2021-02-08 18:15 - Updated: 2026-06-17 03:35
Severity
7.2 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:N
9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
9.8 (Critical) - CVSS:3.1/
Summary
Dynamoose is an open-source modeling tool for Amazon's DynamoDB. In Dynamoose from version 2.0.0 and before version 2.7.0 there was a prototype pollution vulnerability in the internal utility method "lib/utils/object/set.ts". This method is used throughout the codebase for various operations throughout Dynamoose. We have not seen any evidence of this vulnerability being exploited. There is no evidence this vulnerability impacts versions 1.x.x since the vulnerable method was added as part of the v2 rewrite. This vulnerability also impacts v2.x.x beta/alpha versions. Version 2.7.0 includes a patch for this vulnerability.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| dynamoosejs | dynamoose | * |
{
"affected": [
{
"affectedData": [
{
"product": "dynamoose",
"vendor": "dynamoose",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.0.0, \u003c 2.7.0"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:dynamoosejs:dynamoose:*:*:*:*:*:node.js:*:*",
"matchCriteriaId": "48C7EF97-C20A-4C52-9651-A4D0F38AB9CE",
"versionEndExcluding": "2.7.0",
"versionStartIncluding": "2.0.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Dynamoose is an open-source modeling tool for Amazon\u0027s DynamoDB. In Dynamoose from version 2.0.0 and before version 2.7.0 there was a prototype pollution vulnerability in the internal utility method \"lib/utils/object/set.ts\". This method is used throughout the codebase for various operations throughout Dynamoose. We have not seen any evidence of this vulnerability being exploited. There is no evidence this vulnerability impacts versions 1.x.x since the vulnerable method was added as part of the v2 rewrite. This vulnerability also impacts v2.x.x beta/alpha versions. Version 2.7.0 includes a patch for this vulnerability."
},
{
"lang": "es",
"value": "Dynamoose es una herramienta de modelado de c\u00f3digo abierto para DynamoDB de Amazon.\u0026#xa0;En Dynamoose desde la versi\u00f3n 2.0.0 y anterior a la versi\u00f3n 2.7.0 hab\u00eda una vulnerabilidad de contaminaci\u00f3n de prototipo en el m\u00e9todo de utilidad interno \"lib/utils/object/set.ts\".\u0026#xa0;Este m\u00e9todo es usado en toda la base de c\u00f3digo para varias operaciones en Dynamoose.\u0026#xa0;No hemos visto ninguna evidencia de que haya sido explotada esta vulnerabilidad.\u0026#xa0;No hay evidencia de que esta vulnerabilidad afecte a las versiones 1.xx ya que el m\u00e9todo vulnerable se agreg\u00f3 como parte de la reescritura de v2.\u0026#xa0;Esta vulnerabilidad tambi\u00e9n afecta a las versiones v2.xx beta/alpha.\u0026#xa0;La versi\u00f3n 2.7.0 incluye un parche para esta vulnerabilidad"
}
],
"id": "CVE-2021-21304",
"lastModified": "2026-06-17T03:35:15.300",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.2,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 2.7,
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
"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"
}
]
},
"published": "2021-02-08T18:15:13.537",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/dynamoose/dynamoose/commit/324c62b4709204955931a187362f8999805b1d8e"
},
{
"source": "security-advisories@github.com",
"tags": [
"Release Notes",
"Third Party Advisory"
],
"url": "https://github.com/dynamoose/dynamoose/releases/tag/v2.7.0"
},
{
"source": "security-advisories@github.com",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/dynamoose/dynamoose/security/advisories/GHSA-rrqm-p222-8ph2"
},
{
"source": "security-advisories@github.com",
"tags": [
"Product",
"Third Party Advisory"
],
"url": "https://www.npmjs.com/package/dynamoose"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/dynamoose/dynamoose/commit/324c62b4709204955931a187362f8999805b1d8e"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Release Notes",
"Third Party Advisory"
],
"url": "https://github.com/dynamoose/dynamoose/releases/tag/v2.7.0"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/dynamoose/dynamoose/security/advisories/GHSA-rrqm-p222-8ph2"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Product",
"Third Party Advisory"
],
"url": "https://www.npmjs.com/package/dynamoose"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-915"
},
{
"lang": "en",
"value": "CWE-1321"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-1321"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
Loading…
Loading…
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.
Loading…
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.