Vulnerability-Lookup

CNVD-2018-12130

Vulnerability from cnvd - Published: 2018-06-27

Title

Natus Xltek NeuroWorks缓冲区溢出漏洞（CNVD-2018-12130）

Description

Natus Xltek NeuroWorks是美国Natus Medical公司的一套用于EEG测试、长期监测、ICU监测和睡眠研究的通用软件平台。 Natus Xltek NeuroWorks 10版本中的SavePatientMontager功能存在缓冲区溢出漏洞。远程攻击者可通过发送恶意的数据包利用该漏洞执行代码。

Severity

高

Formal description

目前厂商暂未发布修复措施解决此安全问题，建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法： http://www.natus.com/

Reference

https://ics-cert.us-cert.gov/advisories/ICSMA-18-165-01

Impacted products

Name
Natus Medical Natus Xltek NeuroWorks 8

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2017-2867"
    }
  },
  "description": "Natus Xltek NeuroWorks\u662f\u7f8e\u56fdNatus Medical\u516c\u53f8\u7684\u4e00\u5957\u7528\u4e8eEEG\u6d4b\u8bd5\u3001\u957f\u671f\u76d1\u6d4b\u3001ICU\u76d1\u6d4b\u548c\u7761\u7720\u7814\u7a76\u7684\u901a\u7528\u8f6f\u4ef6\u5e73\u53f0\u3002\r\n\r\nNatus Xltek NeuroWorks 10\u7248\u672c\u4e2d\u7684SavePatientMontager\u529f\u80fd\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u53d1\u9001\u6076\u610f\u7684\u6570\u636e\u5305\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4ee3\u7801\u3002",
  "discovererName": "Cory Duplantis",
  "formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\nhttp://www.natus.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-12130",
  "openTime": "2018-06-27",
  "products": {
    "product": "Natus Medical Natus Xltek NeuroWorks 8"
  },
  "referenceLink": "https://ics-cert.us-cert.gov/advisories/ICSMA-18-165-01",
  "serverity": "\u9ad8",
  "submitTime": "2018-06-21",
  "title": "Natus Xltek NeuroWorks\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2018-12130\uff09"
}

CVE-2017-2867 (GCVE-0-2017-2867)

Vulnerability from cvelistv5 – Published: 2018-04-05 19:00 – Updated: 2024-09-16 19:04

Summary

An exploitable code execution vulnerability exists in the SavePatientMontage functionality of Natus Xltek NeuroWorks 8. A specially crafted network packet can cause a stack buffer overflow resulting in code execution. An attacker can a malicious packet to trigger this vulnerability.

Severity

9 (Critical)


                        
                          CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H

CWE

remote code execution

Assigner

talos mitre root

References

2 references

URL	Tags
http://www.securityfocus.com/bid/104490	vdb-entryx_refsource_BID
https://talosintelligence.com/vulnerability_repor…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Natus Medical Incorporated	Natus	Affected: Natus Xltek NeuroWorks 8

Date Public

2018-04-04 00:00

Show details on NVD website

JSON

To clipboard

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            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 9,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "NONE",
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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.