Vulnerability-Lookup

CNVD-2022-05862

Vulnerability from cnvd - Published: 2022-01-23

Title

ICOVO输入验证错误漏洞

Description

ICOVO是一种跨平台解决方案，允许在以太坊上使用OVO链上的NFT等代币。 ICOVO存在输入验证错误漏洞，该漏洞源于selfdestructs()函数中缺少目标地址验证，攻击者可利用漏洞通过精心设计的脚本从受害者用户那里窃取令牌。

Severity

中

Patch Name

ICOVO输入验证错误漏洞的补丁

Patch Description

ICOVO是一种跨平台解决方案，允许在以太坊上使用OVO链上的NFT等代币。 ICOVO存在输入验证错误漏洞，该漏洞源于selfdestructs()函数中缺少目标地址验证，攻击者可利用漏洞通过精心设计的脚本从受害者用户那里窃取令牌。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

目前厂商已发布升级补丁以修复漏洞，补丁获取链接： https://github.com/OSUPlayer/CVEs/blob/master/Suicidal/2019-07-09-02.md

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-19768

Impacted products

Name
ICOVO ICOVO 1.0

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2020-19768"
    }
  },
  "description": "ICOVO\u662f\u4e00\u79cd\u8de8\u5e73\u53f0\u89e3\u51b3\u65b9\u6848\uff0c\u5141\u8bb8\u5728\u4ee5\u592a\u574a\u4e0a\u4f7f\u7528OVO\u94fe\u4e0a\u7684NFT\u7b49\u4ee3\u5e01\u3002\n\nICOVO\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eselfdestructs()\u51fd\u6570\u4e2d\u7f3a\u5c11\u76ee\u6807\u5730\u5740\u9a8c\u8bc1\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u901a\u8fc7\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u811a\u672c\u4ece\u53d7\u5bb3\u8005\u7528\u6237\u90a3\u91cc\u7a83\u53d6\u4ee4\u724c\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://github.com/OSUPlayer/CVEs/blob/master/Suicidal/2019-07-09-02.md",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-05862",
  "openTime": "2022-01-23",
  "patchDescription": "ICOVO\u662f\u4e00\u79cd\u8de8\u5e73\u53f0\u89e3\u51b3\u65b9\u6848\uff0c\u5141\u8bb8\u5728\u4ee5\u592a\u574a\u4e0a\u4f7f\u7528OVO\u94fe\u4e0a\u7684NFT\u7b49\u4ee3\u5e01\u3002\r\n\r\nICOVO\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eselfdestructs()\u51fd\u6570\u4e2d\u7f3a\u5c11\u76ee\u6807\u5730\u5740\u9a8c\u8bc1\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u901a\u8fc7\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u811a\u672c\u4ece\u53d7\u5bb3\u8005\u7528\u6237\u90a3\u91cc\u7a83\u53d6\u4ee4\u724c\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": "ICOVO\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "ICOVO ICOVO 1.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-19768",
  "serverity": "\u4e2d",
  "submitTime": "2021-09-09",
  "title": "ICOVO\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e"
}

CVE-2020-19768 (GCVE-0-2020-19768)

Vulnerability from cvelistv5 – Published: 2021-09-07 21:59 – Updated: 2024-08-04 14:15

Summary

A lack of target address verification in the selfdestructs() function of ICOVO 1.0 allows attackers to steal tokens from victim users via a crafted script.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/OSUPlayer/CVEs/blob/master/Sui…	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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          "dateUpdated": "2024-08-04T14:15:28.699Z",
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              "x_transferred"
            ],
            "url": "https://github.com/OSUPlayer/CVEs/blob/master/Suicidal/2019-07-09-02.md"
          }
        ],
        "title": "CVE Program Container"
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          "versions": [
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              "version": "n/a"
            }
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      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "A lack of target address verification in the selfdestructs() function of ICOVO 1.0 allows attackers to steal tokens from victim users via a crafted script."
        }
      ],
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              "description": "n/a",
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      },
      "references": [
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          "url": "https://github.com/OSUPlayer/CVEs/blob/master/Suicidal/2019-07-09-02.md"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
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          "ID": "CVE-2020-19768",
          "STATE": "PUBLIC"
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        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
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                      "version": {
                        "version_data": [
                          {
                            "version_value": "n/a"
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        "data_version": "4.0",
        "description": {
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  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
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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.