Vulnerability-Lookup

CNVD-2021-22980

Vulnerability from cnvd - Published: 2021-03-29

Title

Cacti1 SQL注入漏洞

Description

Cacti是Cacti团队的一套开源的网络流量监测和分析工具。该工具通过snmpget来获取数据，使用RRDtool绘画图形进行分析，并提供数据和用户管理功能。 Cacti 1.2.12版本中的color.php文件存在SQL注入漏洞。远程攻击者可借助‘filter’参数利用该漏洞执行任意命令。

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://www.cacti.net/

Impacted products

Name
Cacti Cacti 1.2.12

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JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-14295"
    }
  },
  "description": "Cacti\u662fCacti\u56e2\u961f\u7684\u4e00\u5957\u5f00\u6e90\u7684\u7f51\u7edc\u6d41\u91cf\u76d1\u6d4b\u548c\u5206\u6790\u5de5\u5177\u3002\u8be5\u5de5\u5177\u901a\u8fc7snmpget\u6765\u83b7\u53d6\u6570\u636e\uff0c\u4f7f\u7528RRDtool\u7ed8\u753b\u56fe\u5f62\u8fdb\u884c\u5206\u6790\uff0c\u5e76\u63d0\u4f9b\u6570\u636e\u548c\u7528\u6237\u7ba1\u7406\u529f\u80fd\u3002 \n\nCacti 1.2.12\u7248\u672c\u4e2d\u7684color.php\u6587\u4ef6\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u2018filter\u2019\u53c2\u6570\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u547d\u4ee4\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://www.cacti.net/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-22980",
  "openTime": "2021-03-29",
  "products": {
    "product": "Cacti Cacti 1.2.12"
  },
  "serverity": "\u4e2d",
  "submitTime": "2020-06-18",
  "title": "Cacti1 SQL\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2020-14295 (GCVE-0-2020-14295)

Vulnerability from cvelistv5 – Published: 2020-06-17 13:47 – Updated: 2024-08-04 12:39

Summary

A SQL injection issue in color.php in Cacti 1.2.12 allows an admin to inject SQL via the filter parameter. This can lead to remote command execution because the product accepts stacked queries.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

8 references

URL	Tags
https://github.com/Cacti/cacti/issues/3622	x_refsource_MISC
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
http://lists.opensuse.org/opensuse-security-annou…	vendor-advisoryx_refsource_SUSE
https://security.gentoo.org/glsa/202007-03	vendor-advisoryx_refsource_GENTOO
http://lists.opensuse.org/opensuse-security-annou…	vendor-advisoryx_refsource_SUSE
http://packetstormsecurity.com/files/162384/Cacti…	x_refsource_MISC
http://packetstormsecurity.com/files/162918/Cacti…	x_refsource_MISC

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.