Vulnerability-Lookup

CNVD-2020-67239

Vulnerability from cnvd - Published: 2020-11-27

Title

GLPI SQL注入漏洞（CNVD-2020-67239）

Description

GLPI是个人开发者的一款开源IT和资产管理软件。该软件提供功能全面的IT资源管理接口，你可以用它来建立数据库全面管理IT的电脑，显示器，服务器，打印机，网络设备，电话，甚至硒鼓和墨盒等。 GLPI 9.5.2之前版本存在SQL注入漏洞。攻击者可利用该漏洞获取密码、重置令牌、个人详细信息等敏感信息。

Severity

中

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://github.com/glpi-project/glpi/security/advisories/GHSA-x93w-64x9-58qw

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-15176

Impacted products

Name
GLPI GLPI <9.5.2

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-15176",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-15176"
    }
  },
  "description": "GLPI\u662f\u4e2a\u4eba\u5f00\u53d1\u8005\u7684\u4e00\u6b3e\u5f00\u6e90IT\u548c\u8d44\u4ea7\u7ba1\u7406\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u63d0\u4f9b\u529f\u80fd\u5168\u9762\u7684IT\u8d44\u6e90\u7ba1\u7406\u63a5\u53e3\uff0c\u4f60\u53ef\u4ee5\u7528\u5b83\u6765\u5efa\u7acb\u6570\u636e\u5e93\u5168\u9762\u7ba1\u7406IT\u7684\u7535\u8111\uff0c\u663e\u793a\u5668\uff0c\u670d\u52a1\u5668\uff0c\u6253\u5370\u673a\uff0c\u7f51\u7edc\u8bbe\u5907\uff0c\u7535\u8bdd\uff0c\u751a\u81f3\u7852\u9f13\u548c\u58a8\u76d2\u7b49\u3002\n\nGLPI 9.5.2\u4e4b\u524d\u7248\u672c\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u5bc6\u7801\u3001\u91cd\u7f6e\u4ee4\u724c\u3001\u4e2a\u4eba\u8be6\u7ec6\u4fe1\u606f\u7b49\u654f\u611f\u4fe1\u606f\u3002",
  "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://github.com/glpi-project/glpi/security/advisories/GHSA-x93w-64x9-58qw",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-67239",
  "openTime": "2020-11-27",
  "products": {
    "product": "GLPI GLPI \u003c9.5.2"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-15176",
  "serverity": "\u4e2d",
  "submitTime": "2020-10-10",
  "title": "GLPI SQL\u6ce8\u5165\u6f0f\u6d1e\uff08CNVD-2020-67239\uff09"
}

CVE-2020-15176 (GCVE-0-2020-15176)

Vulnerability from cvelistv5 – Published: 2020-10-07 18:55 – Updated: 2024-08-04 13:08

Title

SQL injection in GLPI

Summary

In GLPI before version 9.5.2, when supplying a back tick in input that gets put into a SQL query,the application does not escape or sanitize allowing for SQL Injection to occur. Leveraging this vulnerability an attacker is able to exfiltrate sensitive information like passwords, reset tokens, personal details, and more. The issue is patched in version 9.5.2

Severity

8.7 (High)


                        
                          CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:N

CWE

CWE-89 - SQL Injection

Assigner

GitHub_M mitre root

References

2 references

URL	Tags
https://github.com/glpi-project/glpi/security/adv…	x_refsource_CONFIRM
https://github.com/glpi-project/glpi/commit/f021f…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
glpi-project	glpi	Affected: >= 0.6.8, < 9.5.2

Show details on NVD website

JSON

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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.