Vulnerability-Lookup

CNVD-2025-07542

Vulnerability from cnvd - Published: 2025-04-15

Title

SAP Business Objects Business Intelligence Platform信息泄露漏洞（CNVD-2025-07542）

Description

SAP Business Objects Business Intelligence Platform是德国思爱普（SAP）公司的一套商业智能软件和企业绩效解决方案套件。 SAP Business Objects Business Intelligence Platform存在信息泄露漏洞，该漏洞源于应用对于敏感信息保护不足，攻击者可利用该漏洞导致信息泄露。

Severity

低

Patch Name

SAP Business Objects Business Intelligence Platform信息泄露漏洞（CNVD-2025-07542）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://support.sap.com/en/my-support/knowledge-base/security-notes-news/march-2025.html

Reference

https://nvd.nist.gov/vuln/detail/CVE-2025-23185

Impacted products

Name
SAP SAP Business Objects Business Intelligence Platform

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2025-23185",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-23185"
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  "number": "CNVD-2025-07542",
  "openTime": "2025-04-15",
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  "products": {
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  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-23185",
  "serverity": "\u4f4e",
  "submitTime": "2025-03-27",
  "title": "SAP Business Objects Business Intelligence Platform\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2025-07542\uff09"
}

CVE-2025-23185 (GCVE-0-2025-23185)

Vulnerability from cvelistv5 – Published: 2025-03-11 00:31 – Updated: 2025-03-11 02:17

Title

Information Disclosure in SAP Business Objects Business Intelligence Platform

Summary

Due to improper error handling in SAP Business Objects Business Intelligence Platform, technical details of the application are revealed in exceptions thrown to the user and in stack traces. Only an attacker with administrator level privileges has access to this disclosed information, and they could use it to craft further exploits. There is no impact on the integrity and availability of the application.

Severity

4.1 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-03-11 02:16 UTC

CWE

CWE-209 - Generation of Error Message Containing Sensitive Information

Assigner

sap mitre root

References

2 references

URL	Tags
https://me.sap.com/notes/3549494
https://url.sap/sapsecuritypatchday

Impacted products

1 product

Vendor	Product	Version
SAP_SE	SAP Business Objects Business Intelligence Platform	Affected: ENTERPRISE 430 Affected: 2025 Affected: 2027

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.