FKIE_CVE-2018-1000162
Vulnerability from fkie_nvd - Published: 2018-04-18 19:29 - Updated: 2026-06-17 01:32
Severity
Summary
Parsedown version prior to 1.7.0 contains a Cross Site Scripting (XSS) vulnerability in `setMarkupEscaped` for escaping HTML that can result in JavaScript code execution. This attack appears to be exploitable via specially crafted markdown that allows it to side step HTML escaping by breaking AST boundaries. This vulnerability appears to have been fixed in 1.7.0 and later.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://github.com/Roave/SecurityAdvisories/issues/44#issuecomment-368594409 | Third Party Advisory | |
| cve@mitre.org | https://github.com/erusev/parsedown/pull/495 | Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/Roave/SecurityAdvisories/issues/44#issuecomment-368594409 | Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/erusev/parsedown/pull/495 | Third Party Advisory |
{
"affected": [
{
"affectedData": [
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"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
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"configurations": [
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"cveTags": [],
"descriptions": [
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"lang": "en",
"value": "Parsedown version prior to 1.7.0 contains a Cross Site Scripting (XSS) vulnerability in `setMarkupEscaped` for escaping HTML that can result in JavaScript code execution. This attack appears to be exploitable via specially crafted markdown that allows it to side step HTML escaping by breaking AST boundaries. This vulnerability appears to have been fixed in 1.7.0 and later."
},
{
"lang": "es",
"value": "Parsedown, en versiones anteriores a la 1.7.0, contiene una vulnerabilidad de Cross-Site Scripting (XSS) en `setMarkupEscaped` para escapar HTML que puede resultar en la ejecuci\u00f3n de c\u00f3digo JavaScript. Este ataque parece ser explotable mediante un marcado especialmente manipulado que permite el escapado HTML lateral rompiendo los l\u00edmites de AST. La vulnerabilidad parece haber sido solucionada en las versiones 1.7.0 y siguientes."
}
],
"id": "CVE-2018-1000162",
"lastModified": "2026-06-17T01:32:33.907",
"metrics": {
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{
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"baseSeverity": "MEDIUM",
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"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
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"published": "2018-04-18T19:29:00.583",
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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.
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.
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