Vulnerability-Lookup

CNVD-2020-14294

Vulnerability from cnvd - Published: 2020-02-28

Title

Druva inSync Mac OS Client代码指令不当中性化漏洞

Description

Druva inSync Client是一款轻量级应用程序，用于管理数据备份并允许与其他用户进行协作。Druva inSync Mac OS Client是Mac OS版。 Druva inSync Mac OS Client 6.5.0存在动态评估代码中指令不当中性化漏洞。本地认证攻击者可利用该漏洞以root权限执行任意Python表达式。

Severity

中

Patch Name

Druva inSync Mac OS Client代码指令不当中性化漏洞的补丁

Patch Description

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://docs.druva.com/005_inSync_Client/inSync_Client_6.2.0_for_inSync_Cloud

Reference

https://nvd.nist.gov/vuln/detail/CVE-2019-4000

Impacted products

Name
Druva inSync Mac OS Client 6.5.0

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2019-4000",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-4000"
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  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://docs.druva.com/005_inSync_Client/inSync_Client_6.2.0_for_inSync_Cloud",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-14294",
  "openTime": "2020-02-28",
  "patchDescription": "Druva inSync Client\u662f\u4e00\u6b3e\u8f7b\u91cf\u7ea7\u5e94\u7528\u7a0b\u5e8f\uff0c\u7528\u4e8e\u7ba1\u7406\u6570\u636e\u5907\u4efd\u5e76\u5141\u8bb8\u4e0e\u5176\u4ed6\u7528\u6237\u8fdb\u884c\u534f\u4f5c\u3002Druva inSync Mac OS Client\u662fMac OS\u7248\u3002\r\n\r\nDruva inSync Mac OS Client 6.5.0\u5b58\u5728\u52a8\u6001\u8bc4\u4f30\u4ee3\u7801\u4e2d\u6307\u4ee4\u4e0d\u5f53\u4e2d\u6027\u5316\u6f0f\u6d1e\u3002\u672c\u5730\u8ba4\u8bc1\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4ee5root\u6743\u9650\u6267\u884c\u4efb\u610fPython\u8868\u8fbe\u5f0f\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": "Druva inSync Mac OS Client\u4ee3\u7801\u6307\u4ee4\u4e0d\u5f53\u4e2d\u6027\u5316\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Druva inSync Mac OS Client 6.5.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-4000",
  "serverity": "\u4e2d",
  "submitTime": "2020-02-26",
  "title": "Druva inSync Mac OS Client\u4ee3\u7801\u6307\u4ee4\u4e0d\u5f53\u4e2d\u6027\u5316\u6f0f\u6d1e"
}

CVE-2019-4000 (GCVE-0-2019-4000)

Vulnerability from cvelistv5 – Published: 2020-02-25 20:28 – Updated: 2024-08-04 19:26

Summary

Improper neutralization of directives in dynamically evaluated code in Druva inSync Mac OS Client 6.5.0 allows a local, authenticated attacker to execute arbitrary Python expressions with root privileges.

Severity

No CVSS data available.

CWE

Authenticated Python Code Injection

Assigner

tenable mitre root

References

1 reference

URL	Tags
https://www.tenable.com/security/research/tra-2020-12	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
n/a	Druva inSync Mac OS Client	Affected: 6.5.0

Show details on NVD website

JSON

To clipboard

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      {
        "providerMetadata": {
          "dateUpdated": "2024-08-04T19:26:27.792Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://www.tenable.com/security/research/tra-2020-12"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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        {
          "product": "Druva inSync Mac OS Client",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "6.5.0"
            }
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        }
      ],
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          "value": "Improper neutralization of directives in dynamically evaluated code in Druva inSync Mac OS Client 6.5.0 allows a local, authenticated attacker to execute arbitrary Python expressions with root privileges."
        }
      ],
      "problemTypes": [
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          "descriptions": [
            {
              "description": "Authenticated Python Code Injection",
              "lang": "en",
              "type": "text"
            }
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        }
      ],
      "providerMetadata": {
        "dateUpdated": "2020-02-25T20:28:45.000Z",
        "orgId": "5ac1ecc2-367a-4d16-a0b2-35d495ddd0be",
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      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://www.tenable.com/security/research/tra-2020-12"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "vulnreport@tenable.com",
          "ID": "CVE-2019-4000",
          "STATE": "PUBLIC"
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            "vendor_data": [
              {
                "product": {
                  "product_data": [
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                      "version": {
                        "version_data": [
                          {
                            "version_value": "6.5.0"
                          }
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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.