Vulnerability-Lookup

CNVD-2020-67242

Vulnerability from cnvd - Published: 2020-11-27

Title

GLPI加密问题漏洞

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 9.5.0之前版本存在加密问题漏洞。攻击者可利用该漏洞破解弱密码/可预测密码，从而可解密数据。

Severity

中

Patch Name

GLPI加密问题漏洞的补丁

Patch 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 9.5.0之前版本存在加密问题漏洞。攻击者可利用该漏洞破解弱密码/可预测密码，从而可解密数据。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

目前厂商已发布升级补丁以修复漏洞，补丁获取链接： https://github.com/glpi-project/glpi

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-11031

Impacted products

Name
GLPI GLPI <9.5.0

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-11031",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-11031"
    }
  },
  "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 9.5.0\u4e4b\u524d\u7248\u672c\u5b58\u5728\u52a0\u5bc6\u95ee\u9898\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u7834\u89e3\u5f31\u5bc6\u7801/\u53ef\u9884\u6d4b\u5bc6\u7801\uff0c\u4ece\u800c\u53ef\u89e3\u5bc6\u6570\u636e\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://github.com/glpi-project/glpi",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-67242",
  "openTime": "2020-11-27",
  "patchDescription": "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\r\n\r\nGLPI 9.5.0\u4e4b\u524d\u7248\u672c\u5b58\u5728\u52a0\u5bc6\u95ee\u9898\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u7834\u89e3\u5f31\u5bc6\u7801/\u53ef\u9884\u6d4b\u5bc6\u7801\uff0c\u4ece\u800c\u53ef\u89e3\u5bc6\u6570\u636e\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": "GLPI\u52a0\u5bc6\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "GLPI GLPI \u003c9.5.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-11031",
  "serverity": "\u4e2d",
  "submitTime": "2020-09-24",
  "title": "GLPI\u52a0\u5bc6\u95ee\u9898\u6f0f\u6d1e"
}

CVE-2020-11031 (GCVE-0-2020-11031)

Vulnerability from cvelistv5 – Published: 2020-09-23 15:20 – Updated: 2024-08-04 11:21

Title

Insecure encryption algorithm in GLPI

Summary

In GLPI before version 9.5.0, the encryption algorithm used is insecure. The security of the data encrypted relies on the password used, if a user sets a weak/predictable password, an attacker could decrypt data. This is fixed in version 9.5.0 by using a more secure encryption library. The library chosen is sodium.

Severity

7.8 (High)


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

CWE

CWE-327 - Use of a Broken or Risky Cryptographic Algorithm

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/f1ae6…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
glpi-project	GLPI	Affected: < 9.5.0

Show details on NVD website

JSON

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          "dateUpdated": "2024-08-04T11:21:14.373Z",
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            "url": "https://github.com/glpi-project/glpi/security/advisories/GHSA-7xwm-4vjr-jvqh"
          },
          {
            "tags": [
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            "url": "https://github.com/glpi-project/glpi/commit/f1ae6c8481e5c19a6f1801a5548cada45702e01a#diff-b5d0ee8c97c7abd7e3fa29b9a27d1780"
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        ],
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            "confidentialityImpact": "HIGH",
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            "scope": "CHANGED",
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        },
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          "url": "https://github.com/glpi-project/glpi/commit/f1ae6c8481e5c19a6f1801a5548cada45702e01a#diff-b5d0ee8c97c7abd7e3fa29b9a27d1780"
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        "impact": {
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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.