Vulnerability-Lookup

CNVD-2025-27447

Vulnerability from cnvd - Published: 2025-11-10

Title

IBM QRadar SIEM权限提升漏洞

Description

IBM QRadar SIEM是美国国际商业机器（IBM）公司的一套利用安全智能保护资产和信息远离高级威胁的解决方案。该方案提供对整个IT架构范围进行监督、生成详细的数据访问和用户活动报告等功能。 IBM QRadar SIEM存在权限提升漏洞，该漏洞源于更新脚本权限分配不当，攻击者可利用该漏洞导致权限提升。

Severity

中

Patch Name

IBM QRadar SIEM权限提升漏洞的补丁

Patch Description

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/7249277

Reference

https://nvd.nist.gov/vuln/detail/CVE-2025-36007

Impacted products

Name
IBM QRadar SIEM >=7.5.0，<=7.5.0 UP13 IF02

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-36007",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-36007"
    }
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  "number": "CNVD-2025-27447",
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  "patchName": "IBM QRadar SIEM\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
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  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-36007",
  "serverity": "\u4e2d",
  "submitTime": "2025-10-31",
  "title": "IBM QRadar SIEM\u6743\u9650\u63d0\u5347\u6f0f\u6d1e"
}

CVE-2025-36007 (GCVE-0-2025-36007)

Vulnerability from cvelistv5 – Published: 2025-10-27 18:40 – Updated: 2026-02-26 16:57

Title

IBM QRadar SIEM incorrect privilege assignment

Summary

IBM QRadar SIEM 7.5 through 7.5.0 Update Pack 13 Independent Fix 02 is vulnerable to privilege escalation due to improper privilege assignment to an update script.

Severity

7.8 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-10-28 03:56 UTC

CWE

CWE-266 - Incorrect Privilege Assignment

Assigner

ibm mitre root

References

1 reference

URL	Tags
https://www.ibm.com/support/pages/node/7249277	vendor-advisorypatch

Impacted products

1 product

Vendor	Product	Version
IBM	QRadar SIEM	Affected: 7.5.0 , ≤ 7.5.0 UP13 IF02 (semver) cpe:2.3:a:ibm:qradar_siem::::::::

Credits

John Zuccato, Rodney Ryan, Chris Shepherd, Vince Dragnea, Ben Goodspeed,Dawid Bak

Show details on NVD website

JSON

To clipboard

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                "timestamp": "2025-10-28T03:56:06.887981Z",
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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.