Vulnerability-Lookup

CNVD-2020-14340

Vulnerability from cnvd - Published: 2020-02-28

Title

Dropwizard-Validation注入漏洞

Description

Dropwizard是一个Java框架，用于开发易于运维，高性能的RESTful网络服务。 Dropwizard-Validation 1.3.19之前版本和2.0.2之前版本中存在注入漏洞。该漏洞源于用户输入构造命令、数据结构或记录的操作过程中，网络系统或产品缺乏对用户输入数据的正确验证，未过滤或未正确过滤掉其中的特殊元素，导致系统或产品产生解析或解释方式错误。目前没有详细的漏洞细节提供。

Severity

中

Patch Name

Dropwizard-Validation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://github.com/dropwizard/dropwizard/security/advisories/GHSA-3mcp-9wr4-cjqf

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-5245

Impacted products

Name
['Dropwizard-Validation Dropwizard-Validation <1.3.19', 'Dropwizard-Validation Dropwizard-Validation <2.0.2']

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-5245",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-5245"
    }
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  "description": "Dropwizard\u662f\u4e00\u4e2aJava\u6846\u67b6\uff0c\u7528\u4e8e\u5f00\u53d1\u6613\u4e8e\u8fd0\u7ef4\uff0c\u9ad8\u6027\u80fd\u7684RESTful\u7f51\u7edc\u670d\u52a1\u3002\n\nDropwizard-Validation 1.3.19\u4e4b\u524d\u7248\u672c\u548c2.0.2\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u6ce8\u5165\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7528\u6237\u8f93\u5165\u6784\u9020\u547d\u4ee4\u3001\u6570\u636e\u7ed3\u6784\u6216\u8bb0\u5f55\u7684\u64cd\u4f5c\u8fc7\u7a0b\u4e2d\uff0c\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u7f3a\u4e4f\u5bf9\u7528\u6237\u8f93\u5165\u6570\u636e\u7684\u6b63\u786e\u9a8c\u8bc1\uff0c\u672a\u8fc7\u6ee4\u6216\u672a\u6b63\u786e\u8fc7\u6ee4\u6389\u5176\u4e2d\u7684\u7279\u6b8a\u5143\u7d20\uff0c\u5bfc\u81f4\u7cfb\u7edf\u6216\u4ea7\u54c1\u4ea7\u751f\u89e3\u6790\u6216\u89e3\u91ca\u65b9\u5f0f\u9519\u8bef\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-14340",
  "openTime": "2020-02-28",
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  "products": {
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  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-5245",
  "serverity": "\u4e2d",
  "submitTime": "2020-02-25",
  "title": "Dropwizard-Validation\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2020-5245 (GCVE-0-2020-5245)

Vulnerability from cvelistv5 – Published: 2020-02-24 17:35 – Updated: 2024-08-04 08:22

Title

Remote Code Execution (RCE) vulnerability in dropwizard-validation

Summary

Dropwizard-Validation before 1.3.19, and 2.0.2 may allow arbitrary code execution on the host system, with the privileges of the Dropwizard service account, by injecting arbitrary Java Expression Language expressions when using the self-validating feature. The issue has been fixed in dropwizard-validation 1.3.19 and 2.0.2.

Severity

7.9 (High)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-06-06 14:57 UTC

CWE

CWE-74 - Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')

Assigner

GitHub_M mitre root

References

8 references

URL	Tags
https://github.com/dropwizard/dropwizard/security…	x_refsource_CONFIRM
https://github.com/dropwizard/dropwizard/pull/3157	x_refsource_MISC
https://github.com/dropwizard/dropwizard/pull/3160	x_refsource_MISC
https://github.com/dropwizard/dropwizard/commit/2…	x_refsource_MISC
https://github.com/dropwizard/dropwizard/commit/d…	x_refsource_MISC
https://beanvalidation.org/2.0/spec/#validationap…	x_refsource_MISC
https://docs.jboss.org/hibernate/validator/6.1/re…	x_refsource_MISC
https://docs.oracle.com/javaee/7/tutorial/jsf-el.htm	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
dropwizard	dropwizard-validation	Affected: >= 1.3.0, < 1.3.19 Affected: >= 2.0.0, < 2.0.2

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
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                "id": "CVE-2020-5245",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
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                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
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                "role": "CISA Coordinator",
                "timestamp": "2024-06-06T14:57:55.801469Z",
                "version": "2.0.3"
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          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
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          "dateUpdated": "2024-08-04T08:22:09.091Z",
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        "discovery": "UNKNOWN"
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      "title": "Remote Code Execution (RCE) vulnerability in dropwizard-validation"
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    "dateReserved": "2020-01-02T00:00:00.000Z",
    "dateUpdated": "2024-08-04T08:22:09.091Z",
    "state": "PUBLISHED"
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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.