GSD-2018-21270
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
Versions less than 0.0.6 of the Node.js stringstream module are vulnerable to an out-of-bounds read because of allocation of uninitialized buffers when a number is passed in the input stream (when using Node.js 4.x).
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-21270",
"description": "Versions less than 0.0.6 of the Node.js stringstream module are vulnerable to an out-of-bounds read because of allocation of uninitialized buffers when a number is passed in the input stream (when using Node.js 4.x).",
"id": "GSD-2018-21270",
"references": [
"https://access.redhat.com/errata/RHSA-2021:3917"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"id": "GSD-2018-21270",
"modified": "2023-12-13T01:22:25.435365Z",
"schema_version": "1.4.0"
}
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"gitlab.com": {
"advisories": [
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"affected_range": "\u003c0.0.6",
"affected_versions": "All versions before 0.0.6",
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"cwe_ids": [
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"CWE-125",
"CWE-937"
],
"date": "2021-03-19",
"description": "Versions less than of the Node.js stringstream module are vulnerable to an out-of-bounds read because of allocation of uninitialized buffers when a number is passed in the input stream (when using Node.js ).",
"fixed_versions": [
"0.0.6"
],
"identifier": "CVE-2018-21270",
"identifiers": [
"GHSA-mf6x-7mm4-x2g7",
"CVE-2018-21270"
],
"not_impacted": "All versions starting from 0.0.6",
"package_slug": "npm/stringstream",
"pubdate": "2019-06-20",
"solution": "Upgrade to version 0.0.6 or above.",
"title": "Out-of-bounds Read",
"urls": [
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"https://github.com/mhart/StringStream/blob/v0.0.5/stringstream.js#L32",
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"impact": {
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"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.8,
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"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:N/A:P",
"version": "2.0"
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"exploitabilityScore": 8.6,
"impactScore": 4.9,
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"baseScore": 6.5,
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"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:H",
"version": "3.1"
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"exploitabilityScore": 2.2,
"impactScore": 4.2
}
},
"lastModifiedDate": "2021-02-16T14:35Z",
"publishedDate": "2020-12-03T21:15Z"
}
}
}
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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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