GSD-2019-10745
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
assign-deep is vulnerable to Prototype Pollution in versions before 0.4.8 and version 1.0.0. The function assign-deep could be tricked into adding or modifying properties of Object.prototype using either a constructor or a _proto_ payload.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-10745",
"description": "assign-deep is vulnerable to Prototype Pollution in versions before 0.4.8 and version 1.0.0. The function assign-deep could be tricked into adding or modifying properties of Object.prototype using either a constructor or a _proto_ payload.",
"id": "GSD-2019-10745"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2019-10745"
],
"details": "assign-deep is vulnerable to Prototype Pollution in versions before 0.4.8 and version 1.0.0. The function assign-deep could be tricked into adding or modifying properties of Object.prototype using either a constructor or a _proto_ payload.",
"id": "GSD-2019-10745",
"modified": "2023-12-13T01:23:58.943574Z",
"schema_version": "1.4.0"
}
},
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"ID": "CVE-2019-10745",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "assign-deep",
"version": {
"version_data": [
{
"version_value": "All versions prior to 0.4.8 and version 1.0.0"
}
]
}
}
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"value": "Prototype Pollution"
}
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},
"references": {
"reference_data": [
{
"name": "https://snyk.io/vuln/SNYK-JS-ASSIGNDEEP-450211",
"refsource": "CONFIRM",
"url": "https://snyk.io/vuln/SNYK-JS-ASSIGNDEEP-450211"
}
]
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c0.4.8||=1.0.0",
"affected_versions": "All versions before 0.4.8, version 1.0.0",
"cvss_v2": "AV:N/AC:L/Au:N/C:N/I:P/A:N",
"cvss_v3": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
"cwe_ids": [
"CWE-1035",
"CWE-20",
"CWE-937"
],
"date": "2019-08-30",
"description": "assign-deep is vulnerable to Prototype Pollution. The function `assign-deep` could be tricked into adding or modifying properties of `Object.prototype` using either a constructor or a `_proto_` payload.",
"fixed_versions": [
"0.4.8",
"1.0.1"
],
"identifier": "CVE-2019-10745",
"identifiers": [
"CVE-2019-10745"
],
"not_impacted": "All versions starting from 0.4.8 before 1.0.0, all versions after 1.0.0",
"package_slug": "npm/assign-deep",
"pubdate": "2019-08-20",
"solution": "Upgrade to versions 0.4.8, 1.0.1 or above.",
"title": "Improper Input Validation",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2019-10745"
],
"uuid": "87d6fbf7-8e65-4d96-9a12-cfd29e929347"
}
]
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:assign-deep_project:assign-deep:*:*:*:*:*:node.js:*:*",
"cpe_name": [],
"versionEndExcluding": "0.4.8",
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:assign-deep_project:assign-deep:1.0.0:*:*:*:*:node.js:*:*",
"cpe_name": [],
"vulnerable": true
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"description": {
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}
]
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"problemtype": {
"problemtype_data": [
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},
"references": {
"reference_data": [
{
"name": "https://snyk.io/vuln/SNYK-JS-ASSIGNDEEP-450211",
"refsource": "CONFIRM",
"tags": [
"Exploit",
"Patch",
"Third Party Advisory"
],
"url": "https://snyk.io/vuln/SNYK-JS-ASSIGNDEEP-450211"
}
]
}
},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6
}
},
"lastModifiedDate": "2022-12-02T19:23Z",
"publishedDate": "2019-08-20T19:15Z"
}
}
}
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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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