Vulnerability-Lookup

CNVD-2022-68941

Vulnerability from cnvd - Published: 2022-10-14

Title

Max Yi MaxBoard SQL注入漏洞

Description

Max Yi MaxBoard是韩国Max Yi公司的一个CMS（内容管理系统）或web框架。有助于使网站创建和站点管理更容易，并且可以轻松方便地用于构建应用程序的后端。 Max Yi MaxBoard 1.9.3.3之前版本存在SQL注入漏洞。该漏洞源于可通过使用所需值操作变量并插入任意文件，攻击者可利用该漏洞导致信息泄漏和权限提升。

Severity

高

Patch Name

Max Yi MaxBoard SQL注入漏洞的补丁

Patch Description

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://maxb.kr/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-26633

Impacted products

Name
Max Yi MaxBoard <1.9.3.3

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-26633",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-26633"
    }
  },
  "description": "Max Yi MaxBoard\u662f\u97e9\u56fdMax Yi\u516c\u53f8\u7684\u4e00\u4e2aCMS\uff08\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf\uff09\u6216web\u6846\u67b6\u3002\u6709\u52a9\u4e8e\u4f7f\u7f51\u7ad9\u521b\u5efa\u548c\u7ad9\u70b9\u7ba1\u7406\u66f4\u5bb9\u6613\uff0c\u5e76\u4e14\u53ef\u4ee5\u8f7b\u677e\u65b9\u4fbf\u5730\u7528\u4e8e\u6784\u5efa\u5e94\u7528\u7a0b\u5e8f\u7684\u540e\u7aef\u3002\n\nMax Yi MaxBoard 1.9.3.3\u4e4b\u524d\u7248\u672c\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u53ef\u901a\u8fc7\u4f7f\u7528\u6240\u9700\u503c\u64cd\u4f5c\u53d8\u91cf\u5e76\u63d2\u5165\u4efb\u610f\u6587\u4ef6\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u4fe1\u606f\u6cc4\u6f0f\u548c\u6743\u9650\u63d0\u5347\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://maxb.kr/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-68941",
  "openTime": "2022-10-14",
  "patchDescription": "Max Yi MaxBoard\u662f\u97e9\u56fdMax Yi\u516c\u53f8\u7684\u4e00\u4e2aCMS\uff08\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf\uff09\u6216web\u6846\u67b6\u3002\u6709\u52a9\u4e8e\u4f7f\u7f51\u7ad9\u521b\u5efa\u548c\u7ad9\u70b9\u7ba1\u7406\u66f4\u5bb9\u6613\uff0c\u5e76\u4e14\u53ef\u4ee5\u8f7b\u677e\u65b9\u4fbf\u5730\u7528\u4e8e\u6784\u5efa\u5e94\u7528\u7a0b\u5e8f\u7684\u540e\u7aef\u3002\r\n\r\nMax Yi MaxBoard 1.9.3.3\u4e4b\u524d\u7248\u672c\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u53ef\u901a\u8fc7\u4f7f\u7528\u6240\u9700\u503c\u64cd\u4f5c\u53d8\u91cf\u5e76\u63d2\u5165\u4efb\u610f\u6587\u4ef6\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u4fe1\u606f\u6cc4\u6f0f\u548c\u6743\u9650\u63d0\u5347\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": "Max Yi MaxBoard SQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Max Yi MaxBoard \u003c1.9.3.3"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-26633",
  "serverity": "\u9ad8",
  "submitTime": "2022-06-09",
  "title": "Max Yi MaxBoard SQL\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2021-26633 (GCVE-0-2021-26633)

Vulnerability from cvelistv5 – Published: 2022-06-01 14:54 – Updated: 2024-08-03 20:26

Title

Maxboard SQL injection and LFI vulnerability

Summary

SQL injection and Local File Inclusion (LFI) vulnerabilities in MaxBoard can cause information leakage and privilege escalation. This vulnerabilities can be exploited by manipulating a variable with a desired value and inserting and arbitrary file.

Severity

7.5 (High)


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

CWE

CWE-89 - SQL Injection

Assigner

krcert mitre root

References

1 reference

URL	Tags
https://www.krcert.or.kr/krcert/secNoticeView.do?…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Max Yi	MaxBoard	Affected: unspecified , ≤ 1.9.3.3 (custom)

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.