Vulnerability-Lookup

CNVD-2018-06849

Vulnerability from cnvd - Published: 2018-03-30

Title

Panda Global Protection不带引号Windows搜索路径漏洞

Description

Panda Global Protection是西班牙熊猫安全（Panda Security）公司的一套防病毒软件。该软件可保护设备避免受到病毒、间谍软件、黑客等互联网威胁。 Panda Global Protection 17.0.1版本中的panda_url_filtering服务存在安全漏洞。本地攻击者可借助恶意的文件利用该漏洞获取权限。

Severity

高

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://www.pandasecurity.com/usa/homeusers/solutions/global-protection/#

Reference

https://nvd.nist.gov/vuln/detail/CVE-2018-6321

Impacted products

Name
Panda Security Panda Global Protection 17.0.1

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-6321"
    }
  },
  "description": "Panda Global Protection\u662f\u897f\u73ed\u7259\u718a\u732b\u5b89\u5168\uff08Panda Security\uff09\u516c\u53f8\u7684\u4e00\u5957\u9632\u75c5\u6bd2\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u53ef\u4fdd\u62a4\u8bbe\u5907\u907f\u514d\u53d7\u5230\u75c5\u6bd2\u3001\u95f4\u8c0d\u8f6f\u4ef6\u3001\u9ed1\u5ba2\u7b49\u4e92\u8054\u7f51\u5a01\u80c1\u3002\r\n\r\nPanda Global Protection 17.0.1\u7248\u672c\u4e2d\u7684panda_url_filtering\u670d\u52a1\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u501f\u52a9\u6076\u610f\u7684\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u6743\u9650\u3002",
  "discovererName": "Filipe Xavier Oliveira",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://www.pandasecurity.com/usa/homeusers/solutions/global-protection/#",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-06849",
  "openTime": "2018-03-30",
  "products": {
    "product": "Panda Security Panda Global Protection 17.0.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-6321",
  "serverity": "\u9ad8",
  "submitTime": "2018-03-13",
  "title": "Panda Global Protection\u4e0d\u5e26\u5f15\u53f7Windows\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e"
}

CVE-2018-6321 (GCVE-0-2018-6321)

Vulnerability from cvelistv5 – Published: 2018-03-12 21:00 – Updated: 2024-08-05 06:01

Summary

Unquoted Windows search path vulnerability in the panda_url_filtering service in Panda Global Protection 17.0.1 allows local users to gain privileges via a malicious artefact.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
http://seclists.org/fulldisclosure/2018/Mar/25	mailing-listx_refsource_FULLDISC

Date Public

2018-03-09 00:00

Show details on NVD website

JSON

To clipboard

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            "tags": [
              "mailing-list",
              "x_refsource_FULLDISC",
              "x_transferred"
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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.