FKIE_CVE-2016-0718
Vulnerability from fkie_nvd - Published: 2016-05-26 16:59 - Updated: 2026-06-17 00:38
Severity
Summary
Expat allows context-dependent attackers to cause a denial of service (crash) or possibly execute arbitrary code via a malformed input document, which triggers a buffer overflow.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| mozilla | firefox | * | |
| apple | mac_os_x | * | |
| suse | linux_enterprise_debuginfo | 11 | |
| suse | studio_onsite | 1.3 | |
| suse | linux_enterprise_server | 11 | |
| suse | linux_enterprise_software_development_kit | 11 | |
| opensuse | leap | 42.1 | |
| suse | linux_enterprise_desktop | 12 | |
| suse | linux_enterprise_desktop | 12 | |
| suse | linux_enterprise_server | 12 | |
| suse | linux_enterprise_server | 12 | |
| suse | linux_enterprise_software_development_kit | 12 | |
| suse | linux_enterprise_software_development_kit | 12 | |
| canonical | ubuntu_linux | 12.04 | |
| canonical | ubuntu_linux | 14.04 | |
| canonical | ubuntu_linux | 16.04 | |
| libexpat_project | libexpat | * | |
| debian | debian_linux | 8.0 | |
| opensuse | opensuse | 13.1 | |
| opensuse | opensuse | 13.2 | |
| mcafee | policy_auditor | * | |
| python | python | * | |
| python | python | * | |
| python | python | * | |
| python | python | * | |
| python | python | * |
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"value": "Expat permite a atacantes dependientes del contexto provocar una denegaci\u00f3n de servicio (ca\u00edda) o posiblemente ejecutar c\u00f3digo arbitrario a trav\u00e9s de un documento de entrada mal formado, lo que desencadena un desbordamiento de buffer."
}
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"lastModified": "2026-06-17T00:38:05.190",
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"url": "https://bugzilla.mozilla.org/show_bug.cgi?id=1236923"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Issue Tracking",
"Third Party Advisory"
],
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=1296102"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://kc.mcafee.com/corporate/index?page=content\u0026id=SB10365"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://security.gentoo.org/glsa/201701-21"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://source.android.com/security/bulletin/2016-11-01.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://support.apple.com/HT206903"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://www.tenable.com/security/tns-2016-20"
}
],
"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-119"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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