CVE-2021-24705 (GCVE-0-2021-24705)
Vulnerability from cvelistv5 – Published: 2021-12-13 10:40 – Updated: 2024-08-03 19:42
VLAI
EPSS
VEX
Title
NEX-Forms < 8.4.3 - Stored Cross-Site Scripting via CSRF
Summary
The NEX-Forms WordPress plugin before 8.4.3 does not have CSRF checks in place when editing a form, and does not escape some of its settings as well as form fields before outputting them in attributes. This could allow attackers to make a logged in admin edit arbitrary forms with Cross-Site Scripting payloads in them
Severity
4.8 (Medium)
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://wpscan.com/vulnerability/eca883d8-9499-4d… | exploitvdb-entrytechnical-description |
Impacted products
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"problemTypes": [
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"description": "CWE-79 Cross-Site Scripting (XSS)",
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},
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"descriptions": [
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"description": "CWE-352 Cross-Site Request Forgery (CSRF)",
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"source": {
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"title": "NEX-Forms \u003c 8.4.3 - Stored Cross-Site Scripting via CSRF",
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},
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}
],
"id": "CVE-2021-24705",
"lastModified": "2024-11-21T05:53:36.167",
"metrics": {
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}
}
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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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