CVE-2025-15454 (GCVE-0-2025-15454)
Vulnerability from cvelistv5 – Published: 2026-01-05 03:02 – Updated: 2026-02-23 08:16 X_Open Source
VLAI
EPSS
VEX
Title
zhanglun lettura RSS ContentRender.tsx cross site scripting
Summary
A vulnerability was detected in zhanglun lettura up to 0.1.22. This issue affects some unknown processing of the file src/components/ArticleView/ContentRender.tsx of the component RSS Handler. The manipulation results in cross site scripting. The attack can be executed remotely. This attack is characterized by high complexity. The exploitability is assessed as difficult. The exploit is now public and may be used. The patch is identified as 67213093db9923e828a6e3fd8696a998c85da2d4. It is best practice to apply a patch to resolve this issue.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-06 18:54 UTC
Assigner
VulDB
CNA
References
7 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.339487 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.339487 | signaturepermissions-required |
| https://vuldb.com/?submit.725038 | third-party-advisory |
| https://gist.github.com/youremailaddress/cba7c19a… | related |
| https://gist.github.com/youremailaddress/cba7c19a… | exploit |
| https://github.com/zhanglun/lettura/commit/672130… | patch |
| https://github.com/zhanglun/lettura/ | product |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| zhanglun | lettura |
Affected:
0.1.0
Affected: 0.1.1 Affected: 0.1.2 Affected: 0.1.3 Affected: 0.1.4 Affected: 0.1.5 Affected: 0.1.6 Affected: 0.1.7 Affected: 0.1.8 Affected: 0.1.9 Affected: 0.1.10 Affected: 0.1.11 Affected: 0.1.12 Affected: 0.1.13 Affected: 0.1.14 Affected: 0.1.15 Affected: 0.1.16 Affected: 0.1.17 Affected: 0.1.18 Affected: 0.1.19 Affected: 0.1.20 Affected: 0.1.21 Affected: 0.1.22 |
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| Author | Source | Type | Date | Other |
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Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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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