Vulnerability-Lookup

CNVD-2025-02815

Vulnerability from cnvd - Published: 2025-02-11

Title

IBM Analytics Content Hub缓冲区溢出漏洞

Description

IBM Analytics Content Hub是美国国际商业机器（IBM）公司的一种干净的流式体验，通过从IBM和其他分析提供商的提取内容来可视化相关分析内容。 IBM Analytics Content Hub存在缓冲区溢出漏洞，该漏洞源于返回长度检查不当。攻击者可利用该漏洞导致溢出缓冲区并在系统上执行任意代码或导致服务器崩溃。

Severity

高

Patch Name

IBM Analytics Content Hub缓冲区溢出漏洞的补丁

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/7172787

Reference

https://nvd.nist.gov/vuln/detail/CVE-2024-39750

Impacted products

Name
IBM IBM Analytics Content Hub v2.0

Show details on source website

JSON

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2024-39750",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2024-39750"
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  "number": "CNVD-2025-02815",
  "openTime": "2025-02-11",
  "patchDescription": "IBM Analytics Content Hub\u662f\u7f8e\u56fd\u56fd\u9645\u5546\u4e1a\u673a\u5668\uff08IBM\uff09\u516c\u53f8\u7684\u4e00\u79cd\u5e72\u51c0\u7684\u6d41\u5f0f\u4f53\u9a8c\uff0c\u901a\u8fc7\u4eceIBM\u548c\u5176\u4ed6\u5206\u6790\u63d0\u4f9b\u5546\u7684\u63d0\u53d6\u5185\u5bb9\u6765\u53ef\u89c6\u5316\u76f8\u5173\u5206\u6790\u5185\u5bb9\u3002\r\n\r\nIBM Analytics Content Hub\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u8fd4\u56de\u957f\u5ea6\u68c0\u67e5\u4e0d\u5f53\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u6ea2\u51fa\u7f13\u51b2\u533a\u5e76\u5728\u7cfb\u7edf\u4e0a\u6267\u884c\u4efb\u610f\u4ee3\u7801\u6216\u5bfc\u81f4\u670d\u52a1\u5668\u5d29\u6e83\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 Analytics Content Hub\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "IBM IBM Analytics Content Hub v2.0"
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  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2024-39750",
  "serverity": "\u9ad8",
  "submitTime": "2025-02-06",
  "title": "IBM Analytics Content Hub\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2024-39750 (GCVE-0-2024-39750)

Vulnerability from cvelistv5 – Published: 2025-01-25 14:04 – Updated: 2025-09-29 15:18

Title

IBM Analytics Content Hub buffer overflow

Summary

IBM Analytics Content Hub 2.0 is vulnerable to a buffer overflow due to improper return length checking. A remote authenticated attacker could overflow a buffer and execute arbitrary code on the system or cause the server to crash.

Severity

8.8 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-01-27 14:27 UTC

CWE

CWE-120 - Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')

Assigner

ibm mitre root

References

1 reference

URL	Tags
https://www.ibm.com/support/pages/node/7172787	vendor-advisorypatch

Impacted products

1 product

Vendor	Product	Version
IBM	Analytics Content Hub	Affected: 2.0 cpe:2.3:a:ibm:analytics_content_hub:2.0:::::::*

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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.