Vulnerability-Lookup

CNVD-2025-23075

Vulnerability from cnvd - Published: 2025-09-26

Title

IBM Watson Studio跨站脚本漏洞

Description

IBM Watson Studio是IBM公司的一款数据科学与机器学习平台，集成在Cloud Pak for Data中，用于构建、训练和部署AI模型。 IBM Watson Studio 4.0至5.2.0版本存在跨站脚本漏洞，该漏洞源于未对用户输入进行充分过滤。攻击者可利用该漏洞通过嵌入恶意JavaScript代码篡改Web界面功能，在受信任会话中窃取用户凭证。

Severity

低

Patch Name

IBM Watson Studio跨站脚本漏洞的补丁

Patch Description

Formal description

目前厂商已经发布了升级补丁以修复这个安全问题，请到厂商的主页下载： https://www.ibm.com/support/pages/node/7246140

Reference

https://nvd.nist.gov/vuln/detail/CVE-2025-33116

Impacted products

Name
IBM Watson Studio >=4.0，<=5.2.0

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2025-33116",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-33116"
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  "number": "CNVD-2025-23075",
  "openTime": "2025-09-26",
  "patchDescription": "IBM Watson Studio\u662fIBM\u516c\u53f8\u7684\u4e00\u6b3e\u6570\u636e\u79d1\u5b66\u4e0e\u673a\u5668\u5b66\u4e60\u5e73\u53f0\uff0c\u96c6\u6210\u5728Cloud Pak for Data\u4e2d\uff0c\u7528\u4e8e\u6784\u5efa\u3001\u8bad\u7ec3\u548c\u90e8\u7f72AI\u6a21\u578b\u3002\r\n\r\nIBM Watson Studio 4.0\u81f35.2.0\u7248\u672c\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u672a\u5bf9\u7528\u6237\u8f93\u5165\u8fdb\u884c\u5145\u5206\u8fc7\u6ee4\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u5d4c\u5165\u6076\u610fJavaScript\u4ee3\u7801\u7be1\u6539Web\u754c\u9762\u529f\u80fd\uff0c\u5728\u53d7\u4fe1\u4efb\u4f1a\u8bdd\u4e2d\u7a83\u53d6\u7528\u6237\u51ed\u8bc1\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",
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  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-33116",
  "serverity": "\u4f4e",
  "submitTime": "2025-09-26",
  "title": "IBM Watson Studio\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e"
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CVE-2025-33116 (GCVE-0-2025-33116)

Vulnerability from cvelistv5 – Published: 2025-09-25 15:10 – Updated: 2025-09-25 16:05

Title

IBM Watson Studio on Cloud Pak for Data cross-site scripting

Summary

IBM Watson Studio 4.0 through 5.2.0 on Cloud Pak for Data is vulnerable to cross-site scripting. This vulnerability allows an authenticated user to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session.

Severity

4.4 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-09-25 16:05 UTC

CWE

CWE-79 - Improper Neutralization of Input During Web Page Generation (XSS or 'Cross-site Scripting')

Assigner

ibm mitre root

References

1 reference

URL	Tags
https://www.ibm.com/support/pages/node/7246140	vendor-advisorypatch

Impacted products

1 product

Vendor	Product	Version
IBM	Watson Studio on Cloud Pak for Data	Affected: 4.0 , ≤ 5.2.0 (semver) cpe:2.3:a:ibm:watson_studio_on_cloud_pak_for_data:4.0:::::::* cpe:2.3:a:ibm:watson_studio_on_cloud_pak_for_data:5.2.0:::::::*

Show details on NVD website

JSON

To clipboard

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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.