Vulnerability-Lookup

GHSA-2QQJ-33Q9-MW4M

Vulnerability from github – Published: 2022-05-24 19:08 – Updated: 2022-05-24 19:08

Details

A CWE-79: Improper Neutralization of Input During Web Page Generation (Cross-siteScripting) through Cross-Site Request Forgery (CSRF) vulnerability exists in EVlink City (EVC1S22P4 / EVC1S7P4 all versions prior to R8 V3.4.0.1), EVlink Parking (EVW2 / EVF2 / EV.2 all versions prior to R8 V3.4.0.1), and EVlink Smart Wallbox (EVB1A all versions prior to R8 V3.4.0.1 ) that could allow an attacker to impersonate the user who manages the charging station or carry out actions on their behalf when crafted malicious parameters are submitted to the charging station web server.

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{
  "affected": [],
  "aliases": [
    "CVE-2021-22723"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-07-21T15:15:00Z",
    "severity": "MODERATE"
  },
  "details": "A CWE-79: Improper Neutralization of Input During Web Page Generation (Cross-siteScripting) through Cross-Site Request Forgery (CSRF) vulnerability exists in EVlink City (EVC1S22P4 / EVC1S7P4 all versions prior to R8 V3.4.0.1), EVlink Parking (EVW2 / EVF2 / EV.2 all versions prior to R8 V3.4.0.1), and EVlink Smart Wallbox (EVB1A all versions prior to R8 V3.4.0.1 ) that could allow an attacker to impersonate the user who manages the charging station or carry out actions on their behalf when crafted malicious parameters are submitted to the charging station web server.",
  "id": "GHSA-2qqj-33q9-mw4m",
  "modified": "2022-05-24T19:08:48Z",
  "published": "2022-05-24T19:08:48Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-22723"
    },
    {
      "type": "WEB",
      "url": "http://download.schneider-electric.com/files?p_Doc_Ref=SEVD-2021-194-06"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

CVE-2021-22723 (GCVE-0-2021-22723)

Vulnerability from cvelistv5 – Published: 2021-07-21 10:43 – Updated: 2024-08-03 18:51

Summary

Severity

No CVSS data available.

CWE

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

Assigner

schneider mitre root

References

1 reference

URL	Tags
http://download.schneider-electric.com/files?p_Do…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
n/a	EVlink City (EVC1S22P4 / EVC1S7P4 all versions prior to R8 V3.4.0.1), EVlink Parking (EVW2 / EVF2 / EV.2 all versions prior to R8 V3.4.0.1), and EVlink Smart Wallbox (EVB1A all versions prior to R8 V3.4.0.1 )	Affected: EVlink City (EVC1S22P4 / EVC1S7P4 all versions prior to R8 V3.4.0.1), EVlink Parking (EVW2 / EVF2 / EV.2 all versions prior to R8 V3.4.0.1), and EVlink Smart Wallbox (EVB1A all versions prior to R8 V3.4.0.1 )

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        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "http://download.schneider-electric.com/files?p_Doc_Ref=SEVD-2021-194-06"
          }
        ],
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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.