Vulnerability-Lookup

CNVD-2024-39153

Vulnerability from cnvd - Published: 2024-09-25

Title

Apache IoTDB服务器端请求伪造漏洞

Description

Apache IoTDB是美国阿帕奇（Apache）基金会的一款为时间序列数据设计的集成数据管理引擎，它能够提供数据收集、存储和分析服务等。 Apache IoTDB存在服务器端请求伪造漏洞，该漏洞源于产品未能正确验证用户输入，攻击者可利用该漏洞探测服务器内网资源。

Severity

高

Patch Name

Apache IoTDB服务器端请求伪造漏洞的补丁

Patch Description

Apache IoTDB是美国阿帕奇（Apache）基金会的一款为时间序列数据设计的集成数据管理引擎，它能够提供数据收集、存储和分析服务等。 Apache IoTDB存在服务器端请求伪造漏洞，该漏洞源于产品未能正确验证用户输入，攻击者可利用该漏洞探测服务器内网资源。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://lists.apache.org/thread/d19p0vsm7nogp43q9m3tzm5jl6mzjj1x

Reference

https://nvd.nist.gov/vuln/detail/CVE-2024-36448

Impacted products

Name
Apache IoTDB

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2024-36448",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2024-36448"
    }
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  "description": "Apache IoTDB\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u6b3e\u4e3a\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u8bbe\u8ba1\u7684\u96c6\u6210\u6570\u636e\u7ba1\u7406\u5f15\u64ce\uff0c\u5b83\u80fd\u591f\u63d0\u4f9b\u6570\u636e\u6536\u96c6\u3001\u5b58\u50a8\u548c\u5206\u6790\u670d\u52a1\u7b49\u3002\n\nApache IoTDB\u5b58\u5728\u670d\u52a1\u5668\u7aef\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u4ea7\u54c1\u672a\u80fd\u6b63\u786e\u9a8c\u8bc1\u7528\u6237\u8f93\u5165\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u63a2\u6d4b\u670d\u52a1\u5668\u5185\u7f51\u8d44\u6e90\u3002",
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  "number": "CNVD-2024-39153",
  "openTime": "2024-09-25",
  "patchDescription": "Apache IoTDB\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u6b3e\u4e3a\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u8bbe\u8ba1\u7684\u96c6\u6210\u6570\u636e\u7ba1\u7406\u5f15\u64ce\uff0c\u5b83\u80fd\u591f\u63d0\u4f9b\u6570\u636e\u6536\u96c6\u3001\u5b58\u50a8\u548c\u5206\u6790\u670d\u52a1\u7b49\u3002\r\n\r\nApache IoTDB\u5b58\u5728\u670d\u52a1\u5668\u7aef\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u4ea7\u54c1\u672a\u80fd\u6b63\u786e\u9a8c\u8bc1\u7528\u6237\u8f93\u5165\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u63a2\u6d4b\u670d\u52a1\u5668\u5185\u7f51\u8d44\u6e90\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": "Apache IoTDB\u670d\u52a1\u5668\u7aef\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apache IoTDB"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2024-36448",
  "serverity": "\u9ad8",
  "submitTime": "2024-08-14",
  "title": "Apache IoTDB\u670d\u52a1\u5668\u7aef\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e"
}

CVE-2024-36448 (GCVE-0-2024-36448)

Vulnerability from cvelistv5 – Published: 2024-08-05 09:53 – Updated: 2025-03-13 14:22 Unsupported When Assigned

Title

Apache IoTDB Workbench: SSRF Vulnerability (EOL)

Summary

** UNSUPPORTED WHEN ASSIGNED ** Server-Side Request Forgery (SSRF) vulnerability in Apache IoTDB Workbench. This issue affects Apache IoTDB Workbench: from 0.13.0. As this project is retired, we do not plan to release a version that fixes this issue. Users are recommended to find an alternative or restrict access to the instance to trusted users. NOTE: This vulnerability only affects products that are no longer supported by the maintainer.

Severity

7.3 (High)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-03-13 14:19 UTC

CWE

CWE-918 - Server-Side Request Forgery (SSRF)

Assigner

apache mitre root

References

2 references

URL	Tags
https://lists.apache.org/thread/d19p0vsm7nogp43q9…	vendor-advisory
http://www.openwall.com/lists/oss-security/2024/08/05/1

Impacted products

1 product

Vendor	Product	Version
Apache Software Foundation	Apache IoTDB Workbench	Affected: 0.13.0 , ≤ * (semver)

Credits

L0ne1y

Show details on NVD website

JSON

To clipboard

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              "attackComplexity": "LOW",
              "attackVector": "NETWORK",
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              "baseScore": 7.3,
              "baseSeverity": "HIGH",
              "confidentialityImpact": "LOW",
              "integrityImpact": "LOW",
              "privilegesRequired": "NONE",
              "scope": "UNCHANGED",
              "userInteraction": "NONE",
              "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L",
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                "timestamp": "2025-03-13T14:19:08.103278Z",
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      "tags": [
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      "title": "Apache IoTDB Workbench: SSRF Vulnerability (EOL)",
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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.