Vulnerability-Lookup

CNVD-2024-27495

Vulnerability from cnvd - Published: 2024-06-18

Title

Apache DolphinScheduler输入验证错误漏洞（CNVD-2024-27495）

Description

Apache DolphinScheduler是美国阿帕奇（Apache）基金会的一个分布式的基于DAG可视化的工作流任务调度系统。 Apache DolphinScheduler 3.1.9及之前版本存在安全漏洞，未经身份验证的攻击者可利用该漏洞在服务器上执行任意代码。

Severity

高

Patch Name

Apache DolphinScheduler输入验证错误漏洞（CNVD-2024-27495）的补丁

Patch Description

Apache DolphinScheduler是美国阿帕奇（Apache）基金会的一个分布式的基于DAG可视化的工作流任务调度系统。 Apache DolphinScheduler 3.1.9及之前版本存在安全漏洞，未经身份验证的攻击者可利用该漏洞在服务器上执行任意代码。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://github.com/apache/dolphinscheduler/pull/15228

Reference

https://nvd.nist.gov/vuln/detail/CVE-2023-49299

Impacted products

Name
Apache Apache DolphinScheduler <=3.1.9

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2023-49299",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2023-49299"
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  "description": "Apache DolphinScheduler\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u4e2a\u5206\u5e03\u5f0f\u7684\u57fa\u4e8eDAG\u53ef\u89c6\u5316\u7684\u5de5\u4f5c\u6d41\u4efb\u52a1\u8c03\u5ea6\u7cfb\u7edf\u3002\n\nApache DolphinScheduler 3.1.9\u53ca\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u672a\u7ecf\u8eab\u4efd\u9a8c\u8bc1\u7684\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u670d\u52a1\u5668\u4e0a\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
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  "number": "CNVD-2024-27495",
  "openTime": "2024-06-18",
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  "products": {
    "product": "Apache Apache DolphinScheduler \u003c=3.1.9"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2023-49299",
  "serverity": "\u9ad8",
  "submitTime": "2024-01-08",
  "title": "Apache DolphinScheduler\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff08CNVD-2024-27495\uff09"
}

CVE-2023-49299 (GCVE-0-2023-49299)

Vulnerability from cvelistv5 – Published: 2023-12-30 16:27 – Updated: 2025-02-13 17:18

Title

Apache DolphinScheduler: Arbitrary js execute as root for authenticated users

Summary

Improper Input Validation vulnerability in Apache DolphinScheduler. An authenticated user can cause arbitrary, unsandboxed javascript to be executed on the server.This issue affects Apache DolphinScheduler: until 3.1.9. Users are recommended to upgrade to version 3.1.9, which fixes the issue.

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 2024-08-26 20:21 UTC

CWE

CWE-20 - Improper Input Validation

Assigner

apache mitre root

References

3 references

URL	Tags
https://github.com/apache/dolphinscheduler/pull/15228	patch
https://lists.apache.org/thread/tnf99qoc6tlnwrny4…	vendor-advisory
http://www.openwall.com/lists/oss-security/2024/02/23/3

Impacted products

2 products

Vendor	Product	Version
Apache Software Foundation	Apache DolphinScheduler	Affected: 0 , < 3.1.9 (semver)
apache	dolphinscheduler	Affected: 0 , < 3.1.9 (semver) cpe:2.3:a:apache:dolphinscheduler::::::::

Credits

Eluen Siebene

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.