Vulnerability-Lookup

CNVD-2023-18957

Vulnerability from cnvd - Published: 2023-03-22

Title

Eolinker goku_lite SQL注入漏洞

Description

Eolinker是中国银云（Eolinker）公司的一个API管理解决方案。 Eolinker goku_lite存在SQL注入漏洞，该漏洞源于文件/balance/service/list缺少对外部输入SQL语句的验证。攻击者可利用漏洞通过获取数据库信息。

Severity

高

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://github.com/eolinker/goku_lite

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-3947

Impacted products

Name
eolinker goku lite

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-3947",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-3947"
    }
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  "description": "Eolinker\u662f\u4e2d\u56fd\u94f6\u4e91\uff08Eolinker\uff09\u516c\u53f8\u7684\u4e00\u4e2aAPI\u7ba1\u7406\u89e3\u51b3\u65b9\u6848\u3002\n\nEolinker goku_lite\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u6587\u4ef6/balance/service/list\u7f3a\u5c11\u5bf9\u5916\u90e8\u8f93\u5165SQL\u8bed\u53e5\u7684\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u901a\u8fc7\u83b7\u53d6\u6570\u636e\u5e93\u4fe1\u606f\u3002",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2023-18957",
  "openTime": "2023-03-22",
  "products": {
    "product": "eolinker goku lite"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-3947",
  "serverity": "\u9ad8",
  "submitTime": "2022-11-16",
  "title": "Eolinker goku_lite SQL\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2022-3947 (GCVE-0-2022-3947)

Vulnerability from cvelistv5 – Published: 2022-11-11 00:00 – Updated: 2025-04-15 13:16

Title

eolinker goku_lite list sql injection

Summary

A vulnerability classified as critical has been found in eolinker goku_lite. This affects an unknown part of the file /balance/service/list. The manipulation of the argument route/keyword leads to sql injection. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. The identifier VDB-213453 was assigned to this vulnerability.

Severity

6.3 (Medium)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-14 16:57 UTC

CWE

CWE-707 - Improper Neutralization -> CWE-74 Injection -> CWE-89 SQL Injection

Assigner

VulDB mitre root

References

3 references

URL	Tags
https://c2.im5i.com/2022/11/11/26Jg5.png
https://c2.im5i.com/2022/11/11/26c56.png
https://vuldb.com/?id.213453

Impacted products

1 product

Vendor	Product	Version
eolinker	goku_lite	Affected: n/a

Show details on NVD website

JSON

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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.