Vulnerability-Lookup

VAR-202311-0697

Vulnerability from variot - Updated: 2025-03-13 23:02

A CWE-601 URL Redirection to Untrusted Site vulnerability exists that could cause an openredirect vulnerability leading to a cross site scripting attack. By providing a URL-encoded input attackers can cause the software’s web application to redirect to the chosen domain after a successful login is performed. Schneider Electric EcoStruxure Power Monitoring Expert is a device developed by Schneider Electric for power distribution monitoring in IoT environments.

Schneider Electric EcoStruxure Power Monitoring Expert has an open redirection vulnerability. The vulnerability is caused by the system not properly handling the target jump. Attackers can use this vulnerability to redirect users to malicious websites for phishing and other attacks

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CVE-2023-5986 (GCVE-0-2023-5986)

Vulnerability from cvelistv5 – Published: 2023-11-15 03:47 – Updated: 2024-12-02 21:11

Summary

Severity

8.2 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2023-11-30 19:15 UTC

CWE

CWE-601 - URL Redirection to Untrusted Site ('Open Redirect')

Assigner

schneider CNA under the mitre root

CNA scorecard C 65/100 over 23 records in the last 180 days details

References

1 reference

URL	Tags
https://download.schneider-electric.com/files?p_D…

Impacted products

3 products

Vendor	Product	Version
Schneider Electric	EcoStruxure Power Monitoring Expert (PME)	Affected: Version 2020 CU2 and prior Affected: Version 2021 CU1 and prior
Schneider Electric	EcoStruxure Power Operation (EPO) – Advanced Reporting and Dashboards Module	Affected: Advanced Reporting and Dashboards Module 2021 prior to CU2 for EcoStruxure Power Operation 2021 Affected: Advanced Reporting and Dashboards Module 2020 prior to CU3
Schneider Electric	EcoStruxure Power SCADA Operation (PSO) - Advanced Reporting and Dashboards Module	Affected: EcoStruxure Power SCADA Operation (PSO) 2020 or 2020 R2

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    "assignerOrgId": "076d1eb6-cfab-4401-b34d-6dfc2a413bdb",
    "assignerShortName": "schneider",
    "cveId": "CVE-2023-5986",
    "datePublished": "2023-11-15T03:47:17.684Z",
    "dateReserved": "2023-11-07T10:57:54.715Z",
    "dateUpdated": "2024-12-02T21:11:40.870Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

Order JSON

Publication & reservation Sightings KEV catalogs Other timestamps

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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.

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