Vulnerability-Lookup

CNVD-2018-02999

Vulnerability from cnvd - Published: 2018-02-08

Title

RAVPower Filehub远程代码执行漏洞

Description

RAVPower FileHub是美国RAVPower公司的一款多功能数码设备。该设备同时具有读卡器、USB存储以及NAS文件服务器等功能。HTTP Server是其中的一个HTTP服务器。 RAVPower Filehub存在远程代码执行漏洞。远程攻击者可利用该漏洞以root权限向文件系统上传文件并以同样的权限执行代码。

Severity

高

Formal description

目前没有详细的解决方案提供： https://www.ravpower.com/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2018-5997 https://www.exploit-db.com/exploits/43871/

Impacted products

Name
RAVPower FileHub 2.000.056

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-5997"
    }
  },
  "description": "RAVPower FileHub\u662f\u7f8e\u56fdRAVPower\u516c\u53f8\u7684\u4e00\u6b3e\u591a\u529f\u80fd\u6570\u7801\u8bbe\u5907\u3002\u8be5\u8bbe\u5907\u540c\u65f6\u5177\u6709\u8bfb\u5361\u5668\u3001USB\u5b58\u50a8\u4ee5\u53caNAS\u6587\u4ef6\u670d\u52a1\u5668\u7b49\u529f\u80fd\u3002HTTP Server\u662f\u5176\u4e2d\u7684\u4e00\u4e2aHTTP\u670d\u52a1\u5668\u3002\r\n\r\nRAVPower Filehub\u5b58\u5728\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4ee5root\u6743\u9650\u5411\u6587\u4ef6\u7cfb\u7edf\u4e0a\u4f20\u6587\u4ef6\u5e76\u4ee5\u540c\u6837\u7684\u6743\u9650\u6267\u884c\u4ee3\u7801\u3002",
  "discovererName": "Daniele Linguaglossa",
  "formalWay": "\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u89e3\u51b3\u65b9\u6848\u63d0\u4f9b\uff1a\r\nhttps://www.ravpower.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-02999",
  "openTime": "2018-02-08",
  "products": {
    "product": "RAVPower FileHub 2.000.056"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-5997\r\nhttps://www.exploit-db.com/exploits/43871/",
  "serverity": "\u9ad8",
  "submitTime": "2018-01-26",
  "title": "RAVPower Filehub\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e"
}

CVE-2018-5997 (GCVE-0-2018-5997)

Vulnerability from cvelistv5 – Published: 2018-01-25 17:00 – Updated: 2024-08-05 05:47

Summary

An issue was discovered in the HTTP Server in RAVPower Filehub 2.000.056. Due to an unrestricted upload feature and a path traversal vulnerability, it is possible to upload a file on a filesystem with root privileges: this will lead to remote code execution as root.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://www.exploit-db.com/exploits/43871/	exploitx_refsource_EXPLOIT-DB

Date Public

2018-01-24 00:00

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.