Vulnerability-Lookup

CNVD-2017-34096

Vulnerability from cnvd - Published: 2017-11-16

Title

freexl堆缓冲区溢出漏洞

Description

FreeXL是软件开发者Alessandro Furieri所研发的一个开源的用于从Excel（.xls）电子表格中提取有效数据的库。 FreeXL 1.0.3版本中存在堆缓冲区溢出漏洞，由于程序未能充分的对用户提交的数据执行边界检测，导致复制数据的大小超过了缓冲区的空间。远程攻击者可利用该漏洞在受影响应用程序上下文中执行任意代码或造成拒绝服务。

Severity

高

Formal description

目前厂商暂未发布修复措施解决此安全问题，建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法： https://www.gaia-gis.it/fossil/freexl/index

Reference

https://www.debian.org/security/2017/dsa-3976

Impacted products

Name
FreeXL FreeXL 1.0.3

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2017-2923"
    }
  },
  "description": "FreeXL\u662f\u8f6f\u4ef6\u5f00\u53d1\u8005Alessandro Furieri\u6240\u7814\u53d1\u7684\u4e00\u4e2a\u5f00\u6e90\u7684\u7528\u4e8e\u4eceExcel\uff08.xls\uff09\u7535\u5b50\u8868\u683c\u4e2d\u63d0\u53d6\u6709\u6548\u6570\u636e\u7684\u5e93\u3002\r\n\r\nFreeXL 1.0.3\u7248\u672c\u4e2d\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u7531\u4e8e\u7a0b\u5e8f\u672a\u80fd\u5145\u5206\u7684\u5bf9\u7528\u6237\u63d0\u4ea4\u7684\u6570\u636e\u6267\u884c\u8fb9\u754c\u68c0\u6d4b\uff0c\u5bfc\u81f4\u590d\u5236\u6570\u636e\u7684\u5927\u5c0f\u8d85\u8fc7\u4e86\u7f13\u51b2\u533a\u7684\u7a7a\u95f4\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u53d7\u5f71\u54cd\u5e94\u7528\u7a0b\u5e8f\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\u6216\u9020\u6210\u62d2\u7edd\u670d\u52a1\u3002",
  "discovererName": "unknwon",
  "formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\nhttps://www.gaia-gis.it/fossil/freexl/index",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-34096",
  "openTime": "2017-11-16",
  "products": {
    "product": "FreeXL FreeXL 1.0.3"
  },
  "referenceLink": "https://www.debian.org/security/2017/dsa-3976",
  "serverity": "\u9ad8",
  "submitTime": "2017-09-18",
  "title": "freexl\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2017-2923 (GCVE-0-2017-2923)

Vulnerability from cvelistv5 – Published: 2018-04-24 19:00 – Updated: 2024-09-16 17:03

Summary

An exploitable heap based buffer overflow vulnerability exists in the 'read_biff_next_record function' of FreeXL 1.0.3. A specially crafted XLS file can cause a memory corruption resulting in remote code execution. An attacker can send malicious XLS file to trigger this vulnerability.

Severity

8.8 (High)


                        
                          CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

CWE

remote code execution

Assigner

talos mitre root

References

3 references

URL	Tags
https://www.debian.org/security/2017/dsa-3976	vendor-advisoryx_refsource_DEBIAN
http://www.securityfocus.com/bid/100807	vdb-entryx_refsource_BID
https://www.talosintelligence.com/vulnerability_r…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Alessandro Furieri	FreeXL	Affected: 1.0.3

Date Public

2017-09-11 00:00

Show details on NVD website

JSON

To clipboard

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            "attackComplexity": "LOW",
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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.