Vulnerability-Lookup

CNVD-2017-29731

Vulnerability from cnvd - Published: 2017-10-12

Title

UnRAR ‘Unpack::Unpack20’函数越界读漏洞

Description

UnRAR是Windows和Linux平台上使用的命令行文档解压程序。 UnRAR libunrar.a文件的'Unpack::Unpack20'函数存在越界读漏洞，允许远程攻击者利用漏洞构建恶意文件，诱使用户解析，可使应用程序崩溃。

Severity

高

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： http://www.linuxfromscratch.org/blfs/view/svn/general/unrar.html

Reference

http://seclists.org/oss-sec/2017/q3/290

Impacted products

Name
RARLAB UnRar <5.5.7

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-12941"
    }
  },
  "description": "UnRAR\u662fWindows\u548cLinux\u5e73\u53f0\u4e0a\u4f7f\u7528\u7684\u547d\u4ee4\u884c\u6587\u6863\u89e3\u538b\u7a0b\u5e8f\u3002\r\n\r\nUnRAR libunrar.a\u6587\u4ef6\u7684\u0027Unpack::Unpack20\u0027\u51fd\u6570\u5b58\u5728\u8d8a\u754c\u8bfb\u6f0f\u6d1e\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u5229\u7528\u6f0f\u6d1e\u6784\u5efa\u6076\u610f\u6587\u4ef6\uff0c\u8bf1\u4f7f\u7528\u6237\u89e3\u6790\uff0c\u53ef\u4f7f\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\u3002",
  "discovererName": "unknwon",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttp://www.linuxfromscratch.org/blfs/view/svn/general/unrar.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-29731",
  "openTime": "2017-10-12",
  "products": {
    "product": "RARLAB UnRar \u003c5.5.7"
  },
  "referenceLink": "http://seclists.org/oss-sec/2017/q3/290",
  "serverity": "\u9ad8",
  "submitTime": "2017-08-21",
  "title": "UnRAR \u2018Unpack::Unpack20\u2019\u51fd\u6570\u8d8a\u754c\u8bfb\u6f0f\u6d1e"
}

CVE-2017-12941 (GCVE-0-2017-12941)

Vulnerability from cvelistv5 – Published: 2017-08-18 14:00 – Updated: 2024-08-05 18:51

Summary

libunrar.a in UnRAR before 5.5.7 has an out-of-bounds read in the Unpack::Unpack20 function.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
http://seclists.org/oss-sec/2017/q3/290	x_refsource_MISC
https://kc.mcafee.com/corporate/index?page=conten…	x_refsource_CONFIRM
https://security.gentoo.org/glsa/201709-24	vendor-advisoryx_refsource_GENTOO

Date Public

2017-08-18 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.

Detection rules are retrieved from Rulezet.

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.