GSD-2023-29641
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Cross Site Scripting (XSS) vulnerability in pandao editor.md thru 1.5.0 allows attackers to inject arbitrary web script or HTML via crafted markdown text.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-29641",
"id": "GSD-2023-29641"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "Cross Site Scripting (XSS) vulnerability in pandao editor.md thru 1.5.0 allows attackers to inject arbitrary web script or HTML via crafted markdown text.",
"id": "GSD-2023-29641",
"modified": "2023-12-13T01:20:57.310365Z",
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}
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"affects": {
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"name": "https://github.com/pandao/editor.md/issues/985",
"refsource": "MISC",
"url": "https://github.com/pandao/editor.md/issues/985"
}
]
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c=1.5.0",
"affected_versions": "All versions up to 1.5.0",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"cwe_ids": [
"CWE-1035",
"CWE-79",
"CWE-937"
],
"date": "2023-05-06",
"description": "Cross Site Scripting (XSS) vulnerability in pandao editor.md thru 1.5.0 allows attackers to inject arbitrary web script or HTML via crafted markdown text.",
"fixed_versions": [],
"identifier": "CVE-2023-29641",
"identifiers": [
"CVE-2023-29641",
"GHSA-847g-34c5-vvm8"
],
"not_impacted": "",
"package_slug": "npm/editor.md",
"pubdate": "2023-05-01",
"solution": "Unfortunately, there is no solution available yet.",
"title": "Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2023-29641",
"https://github.com/pandao/editor.md/issues/985",
"https://github.com/advisories/GHSA-847g-34c5-vvm8"
],
"uuid": "a88b306a-f6e2-49e0-9ba4-78fefa0ce405"
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"cpe_name": [],
"versionEndIncluding": "1.5.0",
"vulnerable": true
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"description": {
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"tags": [
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},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 2.7
}
},
"lastModifiedDate": "2023-05-06T03:09Z",
"publishedDate": "2023-05-01T16:15Z"
}
}
}
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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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