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CNVD-2022-22662

Vulnerability from cnvd - Published: 2022-03-25

Title

IBM Big SQL信息泄露漏洞

Description

IBM Big SQL是美国IBM公司的一种企业级、符合 ANSI 的混合SQL-on-Hadoop引擎，可提供大规模并行处理 (MPP) 和高级数据查询。 IBM Big SQL存在安全漏洞，攻击者可利用漏洞允许具有适当权限的经过身份验证的用户通过使用CREATE TABLE SELECT语句绕过数据屏蔽规则来获取敏感信息。

Severity

中

Patch Name

IBM Big SQL信息泄露漏洞的补丁

Patch Description

Formal description

目前厂商已发布升级补丁以修复漏洞，补丁获取链接： https://support.apple.com/en-us/HT213184

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-22353

Impacted products

Name
IBM Big SQL 7.1.0

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-22353"
    }
  },
  "description": "IBM Big SQL\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u79cd\u4f01\u4e1a\u7ea7\u3001\u7b26\u5408 ANSI \u7684\u6df7\u5408SQL-on-Hadoop\u5f15\u64ce\uff0c\u53ef\u63d0\u4f9b\u5927\u89c4\u6a21\u5e76\u884c\u5904\u7406 (MPP) \u548c\u9ad8\u7ea7\u6570\u636e\u67e5\u8be2\u3002\n\nIBM Big SQL\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u5141\u8bb8\u5177\u6709\u9002\u5f53\u6743\u9650\u7684\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u7528\u6237\u901a\u8fc7\u4f7f\u7528CREATE TABLE SELECT\u8bed\u53e5\u7ed5\u8fc7\u6570\u636e\u5c4f\u853d\u89c4\u5219\u6765\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://support.apple.com/en-us/HT213184",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-22662",
  "openTime": "2022-03-25",
  "patchDescription": "IBM Big SQL\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u79cd\u4f01\u4e1a\u7ea7\u3001\u7b26\u5408 ANSI \u7684\u6df7\u5408SQL-on-Hadoop\u5f15\u64ce\uff0c\u53ef\u63d0\u4f9b\u5927\u89c4\u6a21\u5e76\u884c\u5904\u7406 (MPP) \u548c\u9ad8\u7ea7\u6570\u636e\u67e5\u8be2\u3002\r\n\r\nIBM Big SQL\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u5141\u8bb8\u5177\u6709\u9002\u5f53\u6743\u9650\u7684\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u7528\u6237\u901a\u8fc7\u4f7f\u7528CREATE TABLE SELECT\u8bed\u53e5\u7ed5\u8fc7\u6570\u636e\u5c4f\u853d\u89c4\u5219\u6765\u83b7\u53d6\u654f\u611f\u4fe1\u606f\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 Big SQL\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "IBM Big SQL 7.1.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-22353",
  "serverity": "\u4e2d",
  "submitTime": "2022-03-16",
  "title": "IBM Big SQL\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2022-22353 (GCVE-0-2022-22353)

Vulnerability from cvelistv5 – Published: 2022-03-14 17:00 – Updated: 2024-09-16 16:22

Summary

IBM Big SQL on IBM Cloud Pak for Data 7.1.0, 7.1.1, 7.2.0, and 7.2.3 could allow an authenticated user with appropriate permissions to obtain sensitive information by bypassing data masking rules using a CREATE TABLE SELECT statement. IBM X-Force ID: 220480.

Severity

5.3 (Medium)


                        
                          CVSS:3.0/AV:N/A:N/C:H/AC:H/PR:L/S:U/I:N/UI:N/RC:C/E:U/RL:O

CWE

Obtain Information

Assigner

ibm mitre root

References

2 references

URL	Tags
https://www.ibm.com/support/pages/node/6563021	x_refsource_CONFIRM
https://exchange.xforce.ibmcloud.com/vulnerabilit…	vdb-entryx_refsource_XF

Impacted products

1 product

Vendor	Product	Version
IBM	Big SQL on Cloud Pak for Data	Affected: 7.1.0 Affected: 7.1.1 Affected: 7.2.0 Affected: 7.2.3

Date Public

2022-03-11 00:00

Show details on NVD website

JSON

To clipboard

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            "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/220480"
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        ],
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            "attackVector": "NETWORK",
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            "baseScore": 5.3,
            "baseSeverity": "MEDIUM",
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            "remediationLevel": "OFFICIAL_FIX",
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            "scope": "UNCHANGED",
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            "userInteraction": "NONE",
            "vectorString": "CVSS:3.0/AV:N/A:N/C:H/AC:H/PR:L/S:U/I:N/UI:N/RC:C/E:U/RL:O",
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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.