FKIE_CVE-2016-9910
Vulnerability from fkie_nvd - Published: 2017-02-22 16:59 - Updated: 2026-06-17 00:56
Severity
Summary
The serializer in html5lib before 0.99999999 might allow remote attackers to conduct cross-site scripting (XSS) attacks by leveraging mishandling of special characters in attribute values, a different vulnerability than CVE-2016-9909.
References
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "secalert@redhat.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:html5lib:html5lib:*:1.0b8:*:*:*:*:*:*",
"matchCriteriaId": "18761624-335A-475D-A79F-625735B9FF3D",
"versionEndIncluding": "0.99999999",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The serializer in html5lib before 0.99999999 might allow remote attackers to conduct cross-site scripting (XSS) attacks by leveraging mishandling of special characters in attribute values, a different vulnerability than CVE-2016-9909."
},
{
"lang": "es",
"value": "El serializador en html5lib en versiones anteriores a 0.99999999 podr\u00eda permitir a atacantes remotos llevar a cabo ataques de XSS aprovechando el manejo incorrecto de caracteres especiales en valores de atributo, una vulnerabilidad diferente a CVE-2016-9909."
}
],
"id": "CVE-2016-9910",
"lastModified": "2026-06-17T00:56:46.103",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": true
}
],
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"version": "3.0"
},
"exploitabilityScore": 2.8,
"impactScore": 2.7,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2017-02-22T16:59:00.443",
"references": [
{
"source": "secalert@redhat.com",
"tags": [
"Mailing List",
"Patch",
"Third Party Advisory"
],
"url": "http://www.openwall.com/lists/oss-security/2016/12/06/5"
},
{
"source": "secalert@redhat.com",
"tags": [
"Mailing List",
"Patch",
"Third Party Advisory"
],
"url": "http://www.openwall.com/lists/oss-security/2016/12/08/8"
},
{
"source": "secalert@redhat.com",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/95132"
},
{
"source": "secalert@redhat.com",
"tags": [
"Patch"
],
"url": "https://github.com/html5lib/html5lib-python/commit/9b8d8eb5afbc066b7fac9390f5ec75e5e8a7cab7"
},
{
"source": "secalert@redhat.com",
"tags": [
"Vendor Advisory"
],
"url": "https://github.com/html5lib/html5lib-python/issues/11"
},
{
"source": "secalert@redhat.com",
"tags": [
"Vendor Advisory"
],
"url": "https://github.com/html5lib/html5lib-python/issues/12"
},
{
"source": "secalert@redhat.com",
"tags": [
"Release Notes"
],
"url": "https://html5lib.readthedocs.io/en/latest/changes.html#b9"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Mailing List",
"Patch",
"Third Party Advisory"
],
"url": "http://www.openwall.com/lists/oss-security/2016/12/06/5"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Mailing List",
"Patch",
"Third Party Advisory"
],
"url": "http://www.openwall.com/lists/oss-security/2016/12/08/8"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/95132"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch"
],
"url": "https://github.com/html5lib/html5lib-python/commit/9b8d8eb5afbc066b7fac9390f5ec75e5e8a7cab7"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "https://github.com/html5lib/html5lib-python/issues/11"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "https://github.com/html5lib/html5lib-python/issues/12"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Release Notes"
],
"url": "https://html5lib.readthedocs.io/en/latest/changes.html#b9"
}
],
"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
Loading…
Loading…
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.
Loading…
Loading…
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.
Loading…
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.
Loading…