Vulnerability-Lookup

CNVD-2025-12600

Vulnerability from cnvd - Published: 2025-06-10

Title

IBM TXSeries for Multiplatforms跨站请求伪造漏洞

Description

IBM TXSeries for Multiplatforms是美国国际商业机器（IBM）公司的一种事务处理监控和管理的软件产品，它旨在支持多平台上的分布式事务处理。 IBM TXSeries for Multiplatforms存在跨站请求伪造漏洞，远程攻击者可利用该漏洞提交特殊的请求，可执行恶意操作。

Severity

中

Patch Name

IBM TXSeries for Multiplatforms跨站请求伪造漏洞的补丁

Patch Description

IBM TXSeries for Multiplatforms是美国国际商业机器（IBM）公司的一种事务处理监控和管理的软件产品，它旨在支持多平台上的分布式事务处理。 IBM TXSeries for Multiplatforms存在跨站请求伪造漏洞，远程攻击者可利用该漏洞提交特殊的请求，可执行恶意操作。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

用户可参考如下厂商提供的安全补丁以修复该漏洞： https://www.ibm.com/support/pages/node/7229880

Reference

https://nvd.nist.gov/vuln/detail/CVE-2024-56474

Impacted products

Name
['IBM TXSeries for Multiplatforms 9.1', 'IBM TXSeries for Multiplatforms 11.1']

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JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2024-56474",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2024-56474"
    }
  },
  "description": "IBM TXSeries for Multiplatforms\u662f\u7f8e\u56fd\u56fd\u9645\u5546\u4e1a\u673a\u5668\uff08IBM\uff09\u516c\u53f8\u7684\u4e00\u79cd\u4e8b\u52a1\u5904\u7406\u76d1\u63a7\u548c\u7ba1\u7406\u7684\u8f6f\u4ef6\u4ea7\u54c1\uff0c\u5b83\u65e8\u5728\u652f\u6301\u591a\u5e73\u53f0\u4e0a\u7684\u5206\u5e03\u5f0f\u4e8b\u52a1\u5904\u7406\u3002\n\nIBM TXSeries for Multiplatforms\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u63d0\u4ea4\u7279\u6b8a\u7684\u8bf7\u6c42\uff0c\u53ef\u6267\u884c\u6076\u610f\u64cd\u4f5c\u3002",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-12600",
  "openTime": "2025-06-10",
  "patchDescription": "IBM TXSeries for Multiplatforms\u662f\u7f8e\u56fd\u56fd\u9645\u5546\u4e1a\u673a\u5668\uff08IBM\uff09\u516c\u53f8\u7684\u4e00\u79cd\u4e8b\u52a1\u5904\u7406\u76d1\u63a7\u548c\u7ba1\u7406\u7684\u8f6f\u4ef6\u4ea7\u54c1\uff0c\u5b83\u65e8\u5728\u652f\u6301\u591a\u5e73\u53f0\u4e0a\u7684\u5206\u5e03\u5f0f\u4e8b\u52a1\u5904\u7406\u3002\r\n\r\nIBM TXSeries for Multiplatforms\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u63d0\u4ea4\u7279\u6b8a\u7684\u8bf7\u6c42\uff0c\u53ef\u6267\u884c\u6076\u610f\u64cd\u4f5c\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 TXSeries for Multiplatforms\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "IBM TXSeries for Multiplatforms 9.1",
      "IBM TXSeries for Multiplatforms 11.1"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2024-56474",
  "serverity": "\u4e2d",
  "submitTime": "2025-04-14",
  "title": "IBM TXSeries for Multiplatforms\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e"
}

CVE-2024-56474 (GCVE-0-2024-56474)

Vulnerability from cvelistv5 – Published: 2025-04-02 15:31 – Updated: 2025-09-01 00:57

Title

IBM TXSeries for Multiplatforms cross-site request forgery

Summary

IBM TXSeries for Multiplatforms 9.1 and 11.1 is vulnerable to cross-site request forgery which could allow an attacker to execute malicious and unauthorized actions transmitted from a user that the website trusts.

Severity

4.3 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-02 16:28 UTC

CWE

CWE-352 - Cross-Site Request Forgery (CSRF)

Assigner

ibm mitre root

References

1 reference

URL	Tags
https://www.ibm.com/support/pages/node/7229880	vendor-advisorypatch

Impacted products

1 product

Vendor	Product	Version
IBM	TXSeries for Multiplatforms	Affected: 9.1 Affected: 11.1 cpe:2.3:a:ibm:txseries_for_multiplatforms:9.1:::::::* cpe:2.3:a:ibm:txseries_for_multiplatforms:11.1:::::::*

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JSON

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                "id": "CVE-2024-56474",
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                  },
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                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-04-02T16:28:09.494210Z",
                "version": "2.0.3"
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          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
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            "cpe:2.3:a:ibm:txseries_for_multiplatforms:11.1:*:*:*:*:*:*:*"
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            "attackComplexity": "LOW",
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    "dateReserved": "2024-12-26T12:51:26.634Z",
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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.