Vulnerability-Lookup

CNVD-2023-98175

Vulnerability from cnvd - Published: 2023-12-19

Title

IBM Planning Analytics信息泄露漏洞（CNVD-2023-9817594）

Description

IBM Planning Analytics是美国国际商业机器（IBM）公司的一套业务规划分析解决方案。该方案支持自动化执行业务规划、预算和分析等流程。 IBM Planning Analytics存在信息泄露漏洞，该漏洞源于不安全网络通信。攻击者可利用该漏洞获取敏感信息。

Severity

中

Patch Name

IBM Planning Analytics信息泄露漏洞（CNVD-2023-9817594）的补丁

Patch Description

IBM Planning Analytics是美国国际商业机器（IBM）公司的一套业务规划分析解决方案。该方案支持自动化执行业务规划、预算和分析等流程。 IBM Planning Analytics存在信息泄露漏洞，该漏洞源于不安全网络通信。攻击者可利用该漏洞获取敏感信息。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

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/7082784

Reference

https://nvd.nist.gov/vuln/detail/CVE-2023-26024

Impacted products

Name
IBM Planning Analytics on Cloud Pak for Data 4.0

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2023-26024",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2023-26024"
    }
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  "number": "CNVD-2023-98175",
  "openTime": "2023-12-19",
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  "patchName": "IBM Planning Analytics\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2023-9817594\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "IBM Planning Analytics on Cloud Pak for Data 4.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2023-26024",
  "serverity": "\u4e2d",
  "submitTime": "2023-12-05",
  "title": "IBM Planning Analytics\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2023-9817594\uff09"
}

CVE-2023-26024 (GCVE-0-2023-26024)

Vulnerability from cvelistv5 – Published: 2023-12-01 19:07 – Updated: 2024-09-16 18:39

Title

IBM Planning Analytics on Cloud Pak for Data information disclosure

Summary

IBM Planning Analytics on Cloud Pak for Data 4.0 could allow an attacker on a shared network to obtain sensitive information caused by insecure network communication. IBM X-Force ID: 247898.

Severity

6.5 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-01-10 17:22 UTC

CWE

CWE-327 - Use of a Broken or Risky Cryptographic Algorithm

Assigner

ibm mitre root

References

2 references

URL	Tags
https://https://www.ibm.com/support/pages/node/7082784	vendor-advisory
https://exchange.xforce.ibmcloud.com/vulnerabilit…	vdb-entry

Impacted products

1 product

Vendor	Product	Version
IBM	Planning Analytics on Cloud Pak for Data	Affected: 4.0

Show details on NVD website

JSON

To clipboard

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    "dateReserved": "2023-02-17T18:40:48.573Z",
    "dateUpdated": "2024-09-16T18:39:52.723Z",
    "state": "PUBLISHED"
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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.