Vulnerability-Lookup

CNVD-2023-05243

Vulnerability from cnvd - Published: 2023-01-31

Title

IBM Sterling B2B Integrator Standard Edition跨站脚本漏洞（CNVD-2023-05243）

Description

IBM Sterling B2B Integrator是美国IBM公司的一套集成了重要的B2B流程、交易和关系的软件。 IBM Sterling B2B Integrator Standard Edition 6.0.0.0到6.1.2.1版本存在跨站脚本漏洞。攻击者可利用该漏洞在Web UI中嵌入任意JavaScript代码，从而改变预期的功能，导致可信会话中的凭证泄露。

Severity

中

Patch Name

IBM Sterling B2B Integrator Standard Edition跨站脚本漏洞（CNVD-2023-05243）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/6852443

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-22352

Impacted products

Name
IBM Sterling B2B Integrator Standard Edition >=6.0.0.0，<=6.1.2.1

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2022-22352",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-22352"
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  "number": "CNVD-2023-05243",
  "openTime": "2023-01-31",
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  "products": {
    "product": "IBM Sterling B2B Integrator Standard Edition \u003e=6.0.0.0\uff0c\u003c=6.1.2.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-22352",
  "serverity": "\u4e2d",
  "submitTime": "2023-01-06",
  "title": "IBM Sterling B2B Integrator Standard Edition\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2023-05243\uff09"
}

CVE-2022-22352 (GCVE-0-2022-22352)

Vulnerability from cvelistv5 – Published: 2023-01-04 17:00 – Updated: 2025-04-10 14:02

Title

IBM Sterling B2B Integrator Standard Edition cross-site scripting

Summary

IBM Sterling B2B Integrator Standard Edition 6.0.0.0 through 6.1.2.1 is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 220398.

Severity

5.4 (Medium)


                        
                          CVSS:3.1/AV:N/AC:L/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 2025-04-10 14:01 UTC

CWE

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

Assigner

ibm mitre root

References

2 references

URL	Tags
https://www.ibm.com/support/pages/node/6852443	vendor-advisory
https://exchange.xforce.ibmcloud.com/vulnerabilit…	vdb-entry

Impacted products

1 product

Vendor	Product	Version
IBM	Sterling B2B Integrator Standard Edition	Affected: 6.0.0.0 , < 6.1.2.1 (semver)

Show details on NVD website

JSON

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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.