Vulnerability-Lookup

CNVD-2021-92260

Vulnerability from cnvd - Published: 2021-11-29

Title

Advantech R-SeeNet跨站脚本漏洞

Description

Advantech R-SeeNet是中国台湾研华（Advantech）公司的一个工业监控软件。该软件基于snmp协议进行监控平台，并且适用于Linux、Windows平台。 Advantech R-SeeNet存在跨站脚本漏洞，该漏洞源于device_graph_page.php脚本功能缺少对客户端数据的正确验证。攻击者可利用该漏洞引诱用户点击执行客户端代码窃取用户Cookie凭据。

Severity

中

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://icr.advantech.cz/products/software/r-seenet

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-21801

Impacted products

Name
Advantech R-SeeNet 2.4.12 (20.10.2020)

Show details on source website

JSON

To clipboard

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      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-21801"
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  "number": "CNVD-2021-92260",
  "openTime": "2021-11-29",
  "products": {
    "product": "Advantech R-SeeNet 2.4.12 (20.10.2020)"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-21801",
  "serverity": "\u4e2d",
  "submitTime": "2021-07-16",
  "title": "Advantech R-SeeNet\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e"
}

CVE-2021-21801 (GCVE-0-2021-21801)

Vulnerability from cvelistv5 – Published: 2021-07-16 10:37 – Updated: 2024-08-03 18:23

Summary

This vulnerability is present in device_graph_page.php script, which is a part of the Advantech R-SeeNet web applications. A specially crafted URL by an attacker and visited by a victim can lead to arbitrary JavaScript code execution.

Severity

9.6 (Critical)


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

CWE

CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

Assigner

talos mitre root

References

1 reference

URL	Tags
https://talosintelligence.com/vulnerability_repor…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
n/a	Advantech	Affected: Advantech R-SeeNet 2.4.12 (20.10.2020)

Show details on NVD website

JSON

To clipboard

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        }
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            "baseScore": 9.6,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H",
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      },
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          ],
          "url": "https://talosintelligence.com/vulnerability_reports/TALOS-2021-1272"
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                            "version_value": "Advantech R-SeeNet 2.4.12 (20.10.2020)"
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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.