Vulnerability-Lookup

CNVD-2025-31549

Vulnerability from cnvd - Published: 2025-12-30

Title

IBM Cloud Pak for Business Automation访问控制不当漏洞

Description

IBM Cloud Pak for Business Automation是一套模块化的集成软件组件，适用于任何类型的混合云环境，旨在通过自动化技术实现业务流程的数字化转型，从而加速业务增长并提升运营效率。 IBM Cloud Pak for Business Automation存在访问控制不当漏洞，攻击者可利用该漏洞通过中间人技术访问未授权内容或执行未授权操作。

Severity

高

Patch Name

IBM Cloud Pak for Business Automation访问控制不当漏洞的补丁

Patch Description

Formal description

目前厂商已发布升级程序修复该安全问题，详情见厂商官网: https://www.ibm.com/support/pages/node/7249999

Reference

https://nvd.nist.gov/vuln/detail/CVE-2025-36093

Impacted products

Name
['IBM Cloud Pak for Business Automation 25.0.0', 'IBM Cloud Pak for Business Automation 24.0.1', 'IBM Cloud Pak for Business Automation 24.0.0']

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JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-36093",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-36093"
    }
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  "number": "CNVD-2025-31549",
  "openTime": "2025-12-30",
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      "IBM Cloud Pak for Business Automation 24.0.1",
      "IBM Cloud Pak for Business Automation 24.0.0"
    ]
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  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-36093",
  "serverity": "\u9ad8",
  "submitTime": "2025-11-10",
  "title": "IBM Cloud Pak for Business Automation\u8bbf\u95ee\u63a7\u5236\u4e0d\u5f53\u6f0f\u6d1e"
}

CVE-2025-36093 (GCVE-0-2025-36093)

Vulnerability from cvelistv5 – Published: 2025-11-03 15:54 – Updated: 2025-11-03 16:25

Title

security vulnerabilities are addressed with IBM Business Automation Insights iFixes for October 2025.

Summary

IBM Cloud Pak For Business Automation 25.0.0, 24.0.1, and 24.0.0 could allow an attacker to access unauthorized content or perform unauthorized actions using man in the middle techniques due to improper access controls.

Severity

4.8 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-11-03 16:25 UTC

CWE

CWE-602 - Client-Side Enforcement of Server-Side Security

Assigner

ibm mitre root

References

1 reference

URL	Tags
https://www.ibm.com/support/pages/node/7249999	vendor-advisorypatch

Impacted products

1 product

Vendor	Product	Version
IBM	Cloud Pak For Business Automation	Affected: 25.0.0 Affected: 24.0.1 Affected: 24.0.0 cpe:2.3:a:ibm:cloud_pak_for_business_automation:24.0.1:::::::* cpe:2.3:a:ibm:cloud_pak_for_business_automation:24.0.0:::::::* cpe:2.3:a:ibm:cloud_pak_for_business_automation:25.0.0:::::::*

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JSON

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                  },
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                    "Technical Impact": "partial"
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                "role": "CISA Coordinator",
                "timestamp": "2025-11-03T16:25:13.912411Z",
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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.