Vulnerability-Lookup

CNVD-2024-26507

Vulnerability from cnvd - Published: 2024-06-05

Title

Fortinet FortiSOAR代码注入漏洞

Description

Fortinet FortiSOAR是美国Fortinet的一种安全编排、自动化和响应 (SOAR) 解决方案。 Fortinet FortiSOAR存在代码注入漏洞，该漏洞源于使用的特殊元素的不正确中和，经过身份验证的攻击者可利用该漏洞通过精心设计的HTTP GET请求执行未经授权的代码或命令。

Severity

高

Patch Name

Fortinet FortiSOAR代码注入漏洞的补丁

Patch Description

Fortinet FortiSOAR是美国Fortinet的一种安全编排、自动化和响应 (SOAR) 解决方案。 Fortinet FortiSOAR 6.4.1及其之后，6.4.4之后版本、7.0.0及其之后，7.0.3之前版本、7.2.0版本存在代码注入漏洞，该漏洞源于使用的特殊元素的不正确中和，经过身份验证的攻击者可利用漏洞通过精心设计的HTTP GET请求执行未经授权的代码或命令。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://docs.fortinet.com/document/fortisoar/7.2.1/getting-started-with-deploying-fortisoar

Reference

https://fortiguard.com/psirt/FG-IR-22-156

Impacted products

Name
['Fortinet FortiSOAR 7.2.0', 'Fortinet FortiSOAR >=7.0.0，<7.0.3', 'Fortinet FortiSOAR >=6.4.1，<=6.4.4']

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-29061",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-29061"
    }
  },
  "description": "Fortinet FortiSOAR\u662f\u7f8e\u56fdFortinet\u7684\u4e00\u79cd\u5b89\u5168\u7f16\u6392\u3001\u81ea\u52a8\u5316\u548c\u54cd\u5e94 (SOAR) \u89e3\u51b3\u65b9\u6848\u3002\n\nFortinet FortiSOAR\u5b58\u5728\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u4f7f\u7528\u7684\u7279\u6b8a\u5143\u7d20\u7684\u4e0d\u6b63\u786e\u4e2d\u548c\uff0c\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u7cbe\u5fc3\u8bbe\u8ba1\u7684HTTP GET\u8bf7\u6c42\u6267\u884c\u672a\u7ecf\u6388\u6743\u7684\u4ee3\u7801\u6216\u547d\u4ee4\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://docs.fortinet.com/document/fortisoar/7.2.1/getting-started-with-deploying-fortisoar",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2024-26507",
  "openTime": "2024-06-05",
  "patchDescription": "Fortinet FortiSOAR\u662f\u7f8e\u56fdFortinet\u7684\u4e00\u79cd\u5b89\u5168\u7f16\u6392\u3001\u81ea\u52a8\u5316\u548c\u54cd\u5e94 (SOAR) \u89e3\u51b3\u65b9\u6848\u3002\r\n\r\nFortinet FortiSOAR 6.4.1\u53ca\u5176\u4e4b\u540e\uff0c6.4.4\u4e4b\u540e\u7248\u672c\u30017.0.0\u53ca\u5176\u4e4b\u540e\uff0c7.0.3\u4e4b\u524d\u7248\u672c\u30017.2.0\u7248\u672c\u5b58\u5728\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u4f7f\u7528\u7684\u7279\u6b8a\u5143\u7d20\u7684\u4e0d\u6b63\u786e\u4e2d\u548c\uff0c\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u901a\u8fc7\u7cbe\u5fc3\u8bbe\u8ba1\u7684HTTP GET\u8bf7\u6c42\u6267\u884c\u672a\u7ecf\u6388\u6743\u7684\u4ee3\u7801\u6216\u547d\u4ee4\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": "Fortinet FortiSOAR\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Fortinet FortiSOAR 7.2.0",
      "Fortinet FortiSOAR \u003e=7.0.0\uff0c\u003c7.0.3",
      "Fortinet FortiSOAR \u003e=6.4.1\uff0c\u003c=6.4.4"
    ]
  },
  "referenceLink": "https://fortiguard.com/psirt/FG-IR-22-156",
  "serverity": "\u9ad8",
  "submitTime": "2022-09-15",
  "title": "Fortinet FortiSOAR\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2022-29061 (GCVE-0-2022-29061)

Vulnerability from cvelistv5 – Published: 2022-09-09 06:55 – Updated: 2024-10-25 13:29

Summary

An improper neutralization of special elements used in an OS command ('OS Command Injection') vulnerability [CWE-78] in Fortinet FortiSOAR before 7.2.1 allows an authenticated attacker to execute unauthorized code or commands via crafted HTTP GET requests.

Severity

7.2 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H/E:P/RL:U/RC:C

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-10-23 14:12 UTC

CWE

Execute unauthorized code or commands

Assigner

fortinet mitre root

References

1 reference

URL	Tags
https://fortiguard.com/psirt/FG-IR-22-156	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Fortinet	Fortinet FortiSOAR	Affected: FortiSOAR 7.2.0, 7.0.2, 7.0.1, 7.0.0, 6.4.4, 6.4.3, 6.4.1

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                "id": "CVE-2022-29061",
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                ],
                "role": "CISA Coordinator",
                "timestamp": "2024-10-23T14:12:21.963099Z",
                "version": "2.0.3"
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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.