GSD-2021-43308
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
An exponential ReDoS (Regular Expression Denial of Service) can be triggered in the markdown-link-extractor npm package, when an attacker is able to supply arbitrary input to the module's exported function
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-43308",
"description": "An exponential ReDoS (Regular Expression Denial of Service) can be triggered in the markdown-link-extractor npm package, when an attacker is able to supply arbitrary input to the module\u0027s exported function",
"id": "GSD-2021-43308"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-43308"
],
"details": "An exponential ReDoS (Regular Expression Denial of Service) can be triggered in the markdown-link-extractor npm package, when an attacker is able to supply arbitrary input to the module\u0027s exported function",
"id": "GSD-2021-43308",
"modified": "2023-12-13T01:23:26.403829Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"AKA": "",
"ASSIGNER": "security@jfrog.com",
"DATE_PUBLIC": "2022-05-29T23:05:00.000Z",
"ID": "CVE-2021-43308",
"STATE": "PUBLIC",
"TITLE": "Exponential ReDoS in markdown-link-extractor"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "markdown-link-extractor",
"version": {
"version_data": [
{
"platform": "",
"version_affected": "\u003c",
"version_name": "",
"version_value": "3.0.2"
},
{
"platform": "",
"version_affected": "\u003c",
"version_name": "",
"version_value": "4.0.1"
}
]
}
}
]
},
"vendor_name": "markdown-link-extractor"
}
]
}
},
"configuration": [],
"credit": [
{
"lang": "eng",
"value": "Denys Vozniuk from JFrog Security Research"
}
],
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "An exponential ReDoS (Regular Expression Denial of Service) can be triggered in the markdown-link-extractor npm package, when an attacker is able to supply arbitrary input to the module\u0027s exported function"
}
]
},
"exploit": [],
"generator": {
"engine": "Vulnogram 0.0.9"
},
"impact": {
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"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 5.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-1333 Inefficient Regular Expression Complexity"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://research.jfrog.com/vulnerabilities/markdown-link-extractor-redos-xray-211350/",
"refsource": "MISC",
"url": "https://research.jfrog.com/vulnerabilities/markdown-link-extractor-redos-xray-211350/"
}
]
},
"solution": [],
"source": {
"advisory": "",
"defect": [],
"discovery": "EXTERNAL"
},
"work_around": []
},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c3.0.2||\u003e=4.0.0 \u003c4.0.1",
"affected_versions": "All versions before 3.0.2, all versions starting from 4.0.0 before 4.0.1",
"cwe_ids": [
"CWE-1035",
"CWE-937"
],
"date": "2022-06-03",
"description": "An exponential ReDoS (Regular Expression Denial of Service) can be triggered in the markdown-link-extractor npm package, when an attacker is able to supply arbitrary input to the module\u0027s exported function",
"fixed_versions": [
"3.0.2",
"4.0.1"
],
"identifier": "CVE-2021-43308",
"identifiers": [
"GHSA-mmh6-m7v9-5956",
"CVE-2021-43308"
],
"not_impacted": "All versions starting from 3.0.2 before 4.0.0, all versions starting from 4.0.1",
"package_slug": "npm/markdown-link-extractor",
"pubdate": "2022-06-03",
"solution": "Upgrade to versions 3.0.2, 4.0.1 or above.",
"title": "Regular expression denial of service in markdown-link-extractor",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2021-43308",
"https://research.jfrog.com/vulnerabilities/markdown-link-extractor-redos-xray-211350/",
"https://github.com/advisories/GHSA-mmh6-m7v9-5956"
],
"uuid": "182096a5-e540-4a0c-9905-c091d2c1c17f"
}
]
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:markdown-link-extractor_project:markdown-link-extractor:*:*:*:*:*:node.js:*:*",
"cpe_name": [],
"versionEndExcluding": "3.0.2",
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:markdown-link-extractor_project:markdown-link-extractor:4.0.0:*:*:*:*:node.js:*:*",
"cpe_name": [],
"vulnerable": true
}
],
"operator": "OR"
}
]
},
"cve": {
"CVE_data_meta": {
"ASSIGNER": "security@jfrog.com",
"ID": "CVE-2021-43308"
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "en",
"value": "An exponential ReDoS (Regular Expression Denial of Service) can be triggered in the markdown-link-extractor npm package, when an attacker is able to supply arbitrary input to the module\u0027s exported function"
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "en",
"value": "CWE-1333"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://research.jfrog.com/vulnerabilities/markdown-link-extractor-redos-xray-211350/",
"refsource": "MISC",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://research.jfrog.com/vulnerabilities/markdown-link-extractor-redos-xray-211350/"
}
]
}
},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"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": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6
}
},
"lastModifiedDate": "2023-07-18T13:53Z",
"publishedDate": "2022-06-02T14:15Z"
}
}
}
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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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