CVE-2022-50951 (GCVE-0-2022-50951)
Vulnerability from cvelistv5 – Published: 2026-02-01 12:56 – Updated: 2026-02-02 19:24
VLAI
EPSS
VEX
Title
WiFi File Transfer 1.0.8 Persistent XSS via Web Server Input Validation
Summary
WiFi File Transfer 1.0.8 contains a persistent cross-site scripting vulnerability that allows remote attackers to inject malicious script codes through file and folder names. Attackers can exploit the web server's input validation weakness to execute arbitrary JavaScript when users preview infected file paths, potentially compromising user browser sessions.
Severity
6.4 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-02 19:23 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://www.vulnerability-lab.com/get_content.php… | exploit |
| https://play.google.com/store/apps/details?id=com… | product |
| https://www.vulncheck.com/advisories/wifi-file-tr… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| smarterDroid | WiFi File Transfer |
Affected:
1.0.8
|
guessed |
Date Public
2022-10-16 00:00
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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
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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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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.
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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.