CVE-2022-33994 (GCVE-0-2022-33994)
Vulnerability from cvelistv5 – Published: 2022-07-30 19:27 – Updated: 2024-08-03 08:16
VLAI
EPSS
VEX
Summary
The Gutenberg plugin through 13.7.3 for WordPress allows stored XSS by the Contributor role via an SVG document to the "Insert from URL" feature. NOTE: the XSS payload does not execute in the context of the WordPress instance's domain; however, analogous attempts by low-privileged users to reference SVG documents are blocked by some similar products, and this behavioral difference might have security relevance to some WordPress site administrators.
Severity
CWE
- n/a
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://blog.jitendrapatro.me/cve-2022-33994-stor… | x_refsource_MISC |
| https://patchstack.com/articles/patchstack-weekly… | x_refsource_MISC |
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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.
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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