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VAR-202206-1903

Vulnerability from variot - Updated: 2023-12-18 13:32

The administration interface of the Raytion Custom Security Manager (Raytion CSM) in Version 7.2.0 allows reflected Cross-site Scripting (XSS). Raytion is a search connector from German company Raytion.

Raytion version 7.2.0 has a cross-site scripting vulnerability. The vulnerability stems from the program's lack of data validation and filtering of user-supplied data and output. Attackers can exploit this vulnerability to execute JavaScript code on the client

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CVE-2022-29931 (GCVE-0-2022-29931)

Vulnerability from cvelistv5 – Published: 2022-06-25 18:42 – Updated: 2025-05-30 16:02

Summary

The administration interface of the Raytion Custom Security Manager (Raytion CSM) in Version 7.2.0 allows reflected Cross-site Scripting (XSS).

Severity

6.1 (Medium)


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

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2324 records in the last 180 days details

References

2 references

URL	Tags
https://excellium-services.com/cert-xlm-advisory/…
https://cds.thalesgroup.com/en/tcs-cert/CVE-2022-29931

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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.

Vulnerability timeline

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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.
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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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