Vulnerability-Lookup

CNVD-2021-31235

Vulnerability from cnvd - Published: 2021-04-27

Title

Rapid7 Metasploit Framework代码问题漏洞

Description

Rapid7 Metasploit Framework是美国Rapid7公司的一款渗透测试框架。 Metasploit Framework 存在代码问题漏洞，该漏洞源于用户将会无意中暴露Metasploit的反序列化问题，而这正是该模块所利用的问题。目前没有详细的漏洞细节提供。

Severity

高

Patch Name

Rapid7 Metasploit Framework代码问题漏洞的补丁

Patch Description

Rapid7 Metasploit Framework是美国Rapid7公司的一款渗透测试框架。 Metasploit Framework 存在代码问题漏洞，该漏洞源于用户将会无意中暴露Metasploit的反序列化问题，而这正是该模块所利用的问题。目前没有详细的漏洞细节提供。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://help.rapid7.com/metasploit/release-notes/archive/2020/10/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-7385

Impacted products

Name
Rapid7 Metasploit Framework

Show details on source website

JSON

To clipboard

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-7385"
    }
  },
  "description": "Rapid7 Metasploit Framework\u662f\u7f8e\u56fdRapid7\u516c\u53f8\u7684\u4e00\u6b3e\u6e17\u900f\u6d4b\u8bd5\u6846\u67b6\u3002\n\nMetasploit Framework \u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7528\u6237\u5c06\u4f1a\u65e0\u610f\u4e2d\u66b4\u9732Metasploit\u7684\u53cd\u5e8f\u5217\u5316\u95ee\u9898\uff0c\u800c\u8fd9\u6b63\u662f\u8be5\u6a21\u5757\u6240\u5229\u7528\u7684\u95ee\u9898\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
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  "number": "CNVD-2021-31235",
  "openTime": "2021-04-27",
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}

CVE-2020-7385 (GCVE-0-2020-7385)

Vulnerability from cvelistv5 – Published: 2021-04-23 15:35 – Updated: 2024-09-17 01:30

Title

Metasploit Framework 'drb_remote_codeexec' code execution

Summary

By launching the drb_remote_codeexec exploit, a Metasploit Framework user will inadvertently expose Metasploit to the same deserialization issue that is exploited by that module, due to the reliance on the vulnerable Distributed Ruby class functions. Since Metasploit Framework typically runs with elevated privileges, this can lead to a system compromise on the Metasploit workstation. Note that an attacker would have to lie in wait and entice the Metasploit user to run the affected module against a malicious endpoint in a "hack-back" type of attack. Metasploit is only vulnerable when the drb_remote_codeexec module is running. In most cases, this cannot happen automatically.

Severity

8.1 (High)


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

CWE

CWE-502 - Deserialization of Untrusted Data

Assigner

rapid7 mitre root

References

3 references

URL	Tags
https://github.com/rapid7/metasploit-framework/pu…	x_refsource_MISC
https://help.rapid7.com/metasploit/release-notes/…	x_refsource_MISC
https://github.com/rapid7/metasploit-framework/pu…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Rapid7	Metasploit Framework	Affected: 6.0.15 , ≤ 6.0.15 (custom)

Date Public

2020-10-22 00:00

Credits

This issue was discovered by Jeff Dileo of NCC Group, and reported to Rapid7 via Rapid7's coordinated vulnerability disclosure process, detailed here: https://www.rapid7.com/.well-known/security.txt

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.