CVE-2026-25154 (GCVE-0-2026-25154)
Vulnerability from cvelistv5 – Published: 2026-01-30 21:59 – Updated: 2026-02-02 16:29
VLAI
EPSS
VEX
Title
LocalSend has Stored XSS in Web Share Interface via Filename
Summary
LocalSend is a free, open-source app that allows users to share files and messages with nearby devices over their local network without needing an internet connection. In versions up to and including 1.17.0, when a user initiates a "Share via Link" session, the LocalSend application starts a local HTTP server to host the selected files. The client-side logic for this web interface is contained in `app/assets/web/main.js`. Note that at [0], the `handleFilesDisplay` function constructs the HTML for the file list by iterating over the files received from the server. Commit 8f3cec85aa29b2b13fed9b2f8e499e1ac9b0504c contains a patch.
Severity
6.1 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-02 16:25 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/localsend/localsend/security/a… | x_refsource_CONFIRM |
| https://github.com/localsend/localsend/commit/8f3… | x_refsource_MISC |
Impacted products
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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Vulnerability timeline
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How durations are calculated
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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.