Vulnerability-Lookup

CNVD-2020-46812

Vulnerability from cnvd - Published: 2020-08-19

Title

IBM QRadar不当访问控制漏洞

Description

IBM QRadar是一种企业安全信息和事件管理(SIEM)产品，可检测异常、发现高级威胁、消除误报。 IBM QRadar Wincollect 7.2.0版本至7.2.9版本中存在安全漏洞，该漏洞源于WinCollect未能正确安装。攻击者可利用该漏洞覆盖或删除任意文件。

Severity

中

Patch Name

IBM QRadar不当访问控制漏洞的补丁

Patch Description

IBM QRadar是一种企业安全信息和事件管理(SIEM)产品，可检测异常、发现高级威胁、消除误报。 IBM QRadar Wincollect 7.2.0版本至7.2.9版本中存在安全漏洞，该漏洞源于WinCollect未能正确安装。攻击者可利用该漏洞覆盖或删除任意文件。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

厂商已发布了漏洞修复程序，请及时关注更新： https://www.ibm.com/support/pages/node/6257885

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-4486

Impacted products

Name
IBM QRadar Wincollect >=7.2.0，<=7.2.9

Show details on source website

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-4486",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-4486"
    }
  },
  "description": "IBM QRadar\u662f\u4e00\u79cd\u4f01\u4e1a\u5b89\u5168\u4fe1\u606f\u548c\u4e8b\u4ef6\u7ba1\u7406(SIEM)\u4ea7\u54c1\uff0c\u53ef\u68c0\u6d4b\u5f02\u5e38\u3001\u53d1\u73b0\u9ad8\u7ea7\u5a01\u80c1\u3001\u6d88\u9664\u8bef\u62a5\u3002\n\nIBM QRadar Wincollect 7.2.0\u7248\u672c\u81f37.2.9\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eWinCollect\u672a\u80fd\u6b63\u786e\u5b89\u88c5\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8986\u76d6\u6216\u5220\u9664\u4efb\u610f\u6587\u4ef6\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://www.ibm.com/support/pages/node/6257885",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-46812",
  "openTime": "2020-08-19",
  "patchDescription": "IBM QRadar\u662f\u4e00\u79cd\u4f01\u4e1a\u5b89\u5168\u4fe1\u606f\u548c\u4e8b\u4ef6\u7ba1\u7406(SIEM)\u4ea7\u54c1\uff0c\u53ef\u68c0\u6d4b\u5f02\u5e38\u3001\u53d1\u73b0\u9ad8\u7ea7\u5a01\u80c1\u3001\u6d88\u9664\u8bef\u62a5\u3002\r\n\r\nIBM QRadar Wincollect 7.2.0\u7248\u672c\u81f37.2.9\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eWinCollect\u672a\u80fd\u6b63\u786e\u5b89\u88c5\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8986\u76d6\u6216\u5220\u9664\u4efb\u610f\u6587\u4ef6\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": "IBM QRadar\u4e0d\u5f53\u8bbf\u95ee\u63a7\u5236\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "IBM QRadar Wincollect \u003e=7.2.0\uff0c\u003c=7.2.9"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-4486",
  "serverity": "\u4e2d",
  "submitTime": "2020-08-12",
  "title": "IBM QRadar\u4e0d\u5f53\u8bbf\u95ee\u63a7\u5236\u6f0f\u6d1e"
}

CVE-2020-4486 (GCVE-0-2020-4486)

Vulnerability from cvelistv5 – Published: 2020-08-11 12:05 – Updated: 2024-09-17 00:42

Summary

IBM QRadar 7.2.0 thorugh 7.2.9 could allow an authenticated user to overwrite or delete arbitrary files due to a flaw after WinCollect installation. IBM X-Force ID: 181861.

Severity

8.1 (High)


                        
                          CVSS:3.0/A:H/I:H/S:U/PR:L/UI:N/AV:N/C:N/AC:L/RC:C/RL:O/E:U

CWE

File Manipulation

Assigner

ibm mitre root

References

2 references

URL	Tags
https://www.ibm.com/support/pages/node/6257885	x_refsource_CONFIRM
https://exchange.xforce.ibmcloud.com/vulnerabilit…	vdb-entryx_refsource_XF

Impacted products

1 product

Vendor	Product	Version
IBM	QRadar Wincollect	Affected: 7.2.0 Affected: 7.2.9

Date Public

2020-08-10 00:00

Show details on NVD website

JSON

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          "dateUpdated": "2024-08-04T08:07:48.934Z",
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            "tags": [
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            ],
            "url": "https://www.ibm.com/support/pages/node/6257885"
          },
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            "name": "ibm-qradar-cve20204486-file-delete (181861)",
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              "x_refsource_XF",
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            ],
            "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/181861"
          }
        ],
        "title": "CVE Program Container"
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    ],
    "cna": {
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          "versions": [
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            },
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      ],
      "metrics": [
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          "cvssV3_0": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.1,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "NONE",
            "exploitCodeMaturity": "UNPROVEN",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "remediationLevel": "OFFICIAL_FIX",
            "reportConfidence": "CONFIRMED",
            "scope": "UNCHANGED",
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            "temporalSeverity": "HIGH",
            "userInteraction": "NONE",
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        }
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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.
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Action not permitted

CNVD-2020-46812

CVE-2020-4486 (GCVE-0-2020-4486)

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