Vulnerability-Lookup

VAR-202505-3447

Vulnerability from variot - Updated: 2025-06-12 23:22

A Stored Cross-Site Scripting (XSS) vulnerability exists in Vtiger CRM Open Source Edition v8.3.0, exploitable via the Services Import feature. An attacker can craft a malicious CSV file containing an XSS payload, mapped to the Service Name field. When the file is uploaded, the application improperly sanitizes user input, leading to persistent script execution

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CVE-2025-45755 (GCVE-0-2025-45755)

Vulnerability from cvelistv5 – Published: 2025-05-21 00:00 – Updated: 2025-05-21 20:00

Summary

Severity

6.1 (Medium)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-05-21 19:58 UTC

CWE

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

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2260 records in the last 180 days details

References

2 references

URL	Tags
https://www.vtiger.com/open-source-crm/
https://www.simonjuguna.com/cve-2025-45755-stored…

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JSON

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              "confidentialityImpact": "LOW",
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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

Sightings and recorded dates, grouped by day · UTC

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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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