FKIE_CVE-2016-1834
Vulnerability from fkie_nvd - Published: 2016-05-20 10:59 - Updated: 2026-06-17 00:42
Severity
Summary
Heap-based buffer overflow in the xmlStrncat function in libxml2 before 2.9.4, as used in Apple iOS before 9.3.2, OS X before 10.11.5, tvOS before 9.2.1, and watchOS before 2.2.1, allows remote attackers to execute arbitrary code or cause a denial of service (memory corruption) via a crafted XML document.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| canonical | ubuntu_linux | 12.04 | |
| canonical | ubuntu_linux | 14.04 | |
| canonical | ubuntu_linux | 15.10 | |
| canonical | ubuntu_linux | 16.04 | |
| apple | iphone_os | * | |
| apple | mac_os_x | * | |
| apple | tvos | * | |
| apple | watchos | * | |
| debian | debian_linux | 8.0 | |
| redhat | enterprise_linux_desktop | 6.0 | |
| redhat | enterprise_linux_desktop | 7.0 | |
| redhat | enterprise_linux_server | 6.0 | |
| redhat | enterprise_linux_server | 7.0 | |
| redhat | enterprise_linux_server_aus | 7.2 | |
| redhat | enterprise_linux_server_aus | 7.3 | |
| redhat | enterprise_linux_server_aus | 7.4 | |
| redhat | enterprise_linux_server_aus | 7.6 | |
| redhat | enterprise_linux_server_eus | 7.2 | |
| redhat | enterprise_linux_server_eus | 7.3 | |
| redhat | enterprise_linux_server_eus | 7.4 | |
| redhat | enterprise_linux_server_eus | 7.5 | |
| redhat | enterprise_linux_server_eus | 7.6 | |
| redhat | enterprise_linux_server_tus | 7.2 | |
| redhat | enterprise_linux_server_tus | 7.3 | |
| redhat | enterprise_linux_server_tus | 7.6 | |
| redhat | enterprise_linux_workstation | 6.0 | |
| redhat | enterprise_linux_workstation | 7.0 | |
| xmlsoft | libxml2 | * | |
| mcafee | web_gateway | * | |
| mcafee | web_gateway | * |
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"Third Party Advisory"
],
"url": "https://www.tenable.com/security/tns-2016-18"
}
],
"sourceIdentifier": "product-security@apple.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-119"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-122"
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
]
}
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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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