Vulnerability-Lookup

CNVD-2018-08565

Vulnerability from cnvd - Published: 2018-04-27

Title

Ericsson-LG iPECS NMS SQL注入漏洞

Description

Ericsson-LG iPECS NMS是韩国Ericsson-LG公司的一套网络管理解决方案。 Ericsson-LG iPECS NMS A.1Ac版本中的登录门户的User ID和password字段存在SQL注入漏洞。远程攻击者可利用该漏洞绕过登录页面并在操作系统上执行代码。

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： http://www.ericssonlg.com

Reference

https://www.exploit-db.com/exploits/44515/

Impacted products

Name
Ericsson-LG iPECS NMS A.1Ac

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-9245",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-9245"
    }
  },
  "description": "Ericsson-LG iPECS NMS\u662f\u97e9\u56fdEricsson-LG\u516c\u53f8\u7684\u4e00\u5957\u7f51\u7edc\u7ba1\u7406\u89e3\u51b3\u65b9\u6848\u3002\r\n\r\nEricsson-LG iPECS NMS A.1Ac\u7248\u672c\u4e2d\u7684\u767b\u5f55\u95e8\u6237\u7684User ID\u548cpassword\u5b57\u6bb5\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7\u767b\u5f55\u9875\u9762\u5e76\u5728\u64cd\u4f5c\u7cfb\u7edf\u4e0a\u6267\u884c\u4ee3\u7801\u3002",
  "discovererName": "Berk Cem G\u00f6ksel",
  "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\nhttp://www.ericssonlg.com",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-08565",
  "openTime": "2018-04-27",
  "products": {
    "product": "Ericsson-LG iPECS NMS A.1Ac"
  },
  "referenceLink": "https://www.exploit-db.com/exploits/44515/",
  "serverity": "\u9ad8",
  "submitTime": "2018-04-24",
  "title": "Ericsson-LG iPECS NMS SQL\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2018-9245 (GCVE-0-2018-9245)

Vulnerability from cvelistv5 – Published: 2018-04-22 13:00 – Updated: 2024-08-05 07:17

Summary

The Ericsson-LG iPECS NMS A.1Ac login portal has a SQL injection vulnerability in the User ID and password fields that allows users to bypass the login page and execute remote code on the operating system.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://gist.github.com/berkgoksel/99ba5c1f3f9f6e…	x_refsource_MISC
https://www.exploit-db.com/exploits/44515/	exploitx_refsource_EXPLOIT-DB

Date Public

2018-04-22 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.