Vulnerability-Lookup

CNVD-2017-15493

Vulnerability from cnvd - Published: 2017-07-20

Title

Genivia gSOAP Devil’s Ivy堆栈缓冲区溢出漏洞

Description

gSOAP是一个广泛使用的Web服务工具包，开发人员使用gSOAP作为软件堆栈的一部分，使各种设备能够与互联网通信。 Genivia gSOAP存在Devil’s Ivy堆栈缓冲区溢出漏洞，允许攻击者远程破坏SOAP Web服务后台进程，访问视频来源或拒绝用户访问，并在受害者设备上执行任意代码。

Severity

高

Patch Name

Genivia gSOAP Devil’s Ivy堆栈缓冲区溢出漏洞的补丁

Patch Description

gSOAP是一个广泛使用的Web服务工具包，开发人员使用gSOAP作为软件堆栈的一部分，使各种设备能够与互联网通信。 Genivia gSOAP存在Devil’s Ivy堆栈缓冲区溢出漏洞，允许攻击者远程破坏SOAP Web服务后台进程，访问视频来源或拒绝用户访问，并在受害者设备上执行任意代码。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

Formal description

目前厂商已经发布了升级补丁已修复这个安全问题，请到厂商的主页下载： http://blog.senr.io/devilsivy.html

Reference

http://blog.senr.io/blog/devils-ivy-flaw-in-widely-used-third-party-code-impacts-millions http://www.securityfocus.com/bid/99868

Impacted products

Name
['Genivia gSOAP 2.7.', 'Genivia gSOAP 2.8.，<2.8.48']

Show details on source website

JSON

To clipboard

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    "bid": {
      "bidNumber": "99868"
    }
  },
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    "cve": {
      "cveNumber": "CVE-2017-9765"
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  "description": "gSOAP\u662f\u4e00\u4e2a\u5e7f\u6cdb\u4f7f\u7528\u7684Web\u670d\u52a1\u5de5\u5177\u5305\uff0c\u5f00\u53d1\u4eba\u5458\u4f7f\u7528gSOAP\u4f5c\u4e3a\u8f6f\u4ef6\u5806\u6808\u7684\u4e00\u90e8\u5206\uff0c\u4f7f\u5404\u79cd\u8bbe\u5907\u80fd\u591f\u4e0e\u4e92\u8054\u7f51\u901a\u4fe1\u3002\r\n\r\nGenivia gSOAP\u5b58\u5728Devil\u2019s Ivy\u5806\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u8fdc\u7a0b\u7834\u574fSOAP Web\u670d\u52a1\u540e\u53f0\u8fdb\u7a0b\uff0c\u8bbf\u95ee\u89c6\u9891\u6765\u6e90\u6216\u62d2\u7edd\u7528\u6237\u8bbf\u95ee\uff0c\u5e76\u5728\u53d7\u5bb3\u8005\u8bbe\u5907\u4e0a\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "Senrio",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u5df2\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttp://blog.senr.io/devilsivy.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-15493",
  "openTime": "2017-07-20",
  "patchDescription": "gSOAP\u662f\u4e00\u4e2a\u5e7f\u6cdb\u4f7f\u7528\u7684Web\u670d\u52a1\u5de5\u5177\u5305\uff0c\u5f00\u53d1\u4eba\u5458\u4f7f\u7528gSOAP\u4f5c\u4e3a\u8f6f\u4ef6\u5806\u6808\u7684\u4e00\u90e8\u5206\uff0c\u4f7f\u5404\u79cd\u8bbe\u5907\u80fd\u591f\u4e0e\u4e92\u8054\u7f51\u901a\u4fe1\u3002\r\n\r\nGenivia gSOAP\u5b58\u5728Devil\u2019s Ivy\u5806\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u8fdc\u7a0b\u7834\u574fSOAP Web\u670d\u52a1\u540e\u53f0\u8fdb\u7a0b\uff0c\u8bbf\u95ee\u89c6\u9891\u6765\u6e90\u6216\u62d2\u7edd\u7528\u6237\u8bbf\u95ee\uff0c\u5e76\u5728\u53d7\u5bb3\u8005\u8bbe\u5907\u4e0a\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Genivia gSOAP Devil\u2019s Ivy\u5806\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Genivia gSOAP 2.7.*",
      "Genivia gSOAP 2.8.*\uff0c\u003c2.8.48"
    ]
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  "referenceLink": "http://blog.senr.io/blog/devils-ivy-flaw-in-widely-used-third-party-code-impacts-millions\r\nhttp://www.securityfocus.com/bid/99868",
  "serverity": "\u9ad8",
  "submitTime": "2017-07-20",
  "title": "Genivia gSOAP Devil\u2019s Ivy\u5806\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2017-9765 (GCVE-0-2017-9765)

Vulnerability from cvelistv5 – Published: 2017-07-20 00:00 – Updated: 2024-08-05 17:18

Summary

Integer overflow in the soap_get function in Genivia gSOAP 2.7.x and 2.8.x before 2.8.48, as used on Axis cameras and other devices, allows remote attackers to execute arbitrary code or cause a denial of service (stack-based buffer overflow and application crash) via a large XML document, aka Devil's Ivy. NOTE: the large document would be blocked by many common web-server configurations on general-purpose computers.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

7 references

URL	Tags
https://bugzilla.suse.com/show_bug.cgi?id=1049348	x_refsource_MISC
http://blog.senr.io/blog/devils-ivy-flaw-in-widel…	x_refsource_MISC
http://blog.senr.io/devilsivy.html	x_refsource_MISC
https://www.genivia.com/advisory.html#Security_ad…	x_refsource_MISC
https://bugzilla.redhat.com/show_bug.cgi?id=1472807	x_refsource_MISC
http://www.securityfocus.com/bid/99868	vdb-entryx_refsource_BID
https://www.genivia.com/changelog.html#Version_2.…	x_refsource_MISC

Date Public

2017-07-19 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.