Vulnerability-Lookup

CNVD-2016-01077

Vulnerability from cnvd - Published: 2016-02-17

Title

Microsoft .NET Framework拒绝服务漏洞

Description

Microsoft .NET Framework是美国微软（Microsoft）公司开发的一种全面且一致的编程模型，也是一个用于构建Windows、Windows Store、Windows Phone、Windows Server和Microsoft Azure的应用程序的开发平台。该平台包括C#和Visual Basic编程语言、公共语言运行库和广泛的类库。 Microsoft .NET Framework中存在拒绝服务漏洞，该漏洞源于程序未能限制XSLT转换的递归编译。远程攻击者可借助特制的XSLT数据利用该漏洞造成拒绝服务（性能减退）。

Severity

中

Patch Name

Microsoft .NET Framework拒绝服务漏洞的补丁

Patch Description

Formal description

目前厂商已经发布了升级补丁以修复此安全问题，补丁获取链接： http://technet.microsoft.com/security/bulletin/MS16-019

Reference

https://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2016-0033

Impacted products

Name
['Microsoft .NET Framework 2.0 SP2', 'Microsoft .NET Framework 3.5', 'Microsoft .NET Framework 3.5.1', 'Microsoft .Net Framework 4.5.2', 'Microsoft .NET Framework 4.6', 'Microsoft .Net Framework 4.6.1']

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JSON

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    "cve": {
      "cveNumber": "CVE-2016-0033"
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  "number": "CNVD-2016-01077",
  "openTime": "2016-02-17",
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  "serverity": "\u4e2d",
  "submitTime": "2016-02-11",
  "title": "Microsoft .NET Framework\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}

CVE-2016-0033 (GCVE-0-2016-0033)

Vulnerability from cvelistv5 – Published: 2016-02-10 11:00 – Updated: 2024-08-05 22:08

Summary

Microsoft .NET Framework 2.0 SP2, 3.5, 3.5.1, 4.5.2, 4.6, and 4.6.1 does not prevent recursive compilation of XSLT transforms, which allows remote attackers to cause a denial of service (performance degradation) via crafted XSLT data, aka ".NET Framework Stack Overflow Denial of Service Vulnerability."

Severity

No CVSS data available.

CWE

Assigner

microsoft CNA under the mitre root

CNA scorecard B 82/100 over 3838 records in the last 180 days details

References

2 references

URL	Tags
https://docs.microsoft.com/en-us/security-updates…	vendor-advisoryx_refsource_MS
http://www.securitytracker.com/id/1034983	vdb-entryx_refsource_SECTRACK

Date Public

2016-02-09 00:00

Show details on NVD website

JSON

To clipboard

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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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

Order JSON

How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Publication & reservation Sightings KEV catalogs Other timestamps

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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.

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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