CVE-2024-39307 (GCVE-0-2024-39307)
Vulnerability from cvelistv5 – Published: 2024-06-28 20:44 – Updated: 2024-08-02 04:19
VLAI
EPSS
VEX
Title
Cross-Site Scripting (XSS) vulnerability via crafted ebooks in Kavita
Summary
Kavita is a cross platform reading server. Opening an ebook with malicious scripts inside leads to code execution inside the browsing context. Kavita doesn't sanitize or sandbox the contents of epubs, allowing scripts inside ebooks to execute. This vulnerability was patched in version 0.8.1.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-06-29 13:31 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/Kareadita/Kavita/security/advi… | x_refsource_CONFIRM |
Impacted products
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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.
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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.
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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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