CVE-2025-25187 (GCVE-0-2025-25187)
Vulnerability from cvelistv5 – Published: 2025-02-07 22:38 – Updated: 2025-02-10 17:15
VLAI
EPSS
VEX
Title
Cross-site Scripting in Goto Anything allows arbitrary code execution in Joplin
Summary
Joplin is a free, open source note taking and to-do application, which can handle a large number of notes organised into notebooks. This vulnerability is caused by adding note titles to the document using React's `dangerouslySetInnerHTML`, without first escaping HTML entities. Joplin lacks a Content-Security-Policy with a restrictive `script-src`. This allows arbitrary JavaScript execution via inline `onclick`/`onload` event handlers in unsanitized HTML. Additionally, Joplin's main window is created with `nodeIntegration` set to `true`, allowing arbitrary JavaScript execution to result in arbitrary code execution. Anyone who 1) receives notes from unknown sources and 2) uses <kbd>ctrl</kbd>-<kbd>p</kbd> to search is impacted. This issue has been addressed in version 3.1.24 and all users are advised to upgrade. There are no known workarounds for this vulnerability.
Severity
7.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-10 17:14 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/laurent22/joplin/security/advi… | x_refsource_CONFIRM |
| https://github.com/laurent22/joplin/commit/360ece… | x_refsource_MISC |
| https://developer.mozilla.org/en-US/docs/Web/HTTP… | x_refsource_MISC |
| https://github.com/laurent22/joplin/blob/2fc9bd47… | x_refsource_MISC |
Impacted products
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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
- 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.
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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.
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.
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