CVE-2021-47927 (GCVE-0-2021-47927)
Vulnerability from cvelistv5 – Published: 2026-05-10 12:43 – Updated: 2026-05-24 01:37
VLAI
EPSS
VEX
Title
WordPress Plugin WP Symposium Pro 2021.10 Stored XSS via wps_admin_forum_add_name
Summary
WordPress Plugin WP Symposium Pro 2021.10 contains a stored cross-site scripting vulnerability that allows authenticated attackers to inject malicious scripts by exploiting insufficient sanitization of the forum name parameter. Attackers can submit POST requests to the admin setup page with JavaScript payloads in the wps_admin_forum_add_name parameter, which are stored and executed when the forum is accessed.
Severity
6.4 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-11 13:17 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://www.exploit-db.com/exploits/50514 | exploit |
| http://www.wpsymposiumpro.com/ | product |
| https://wordpress.org/plugins/wp-symposium-pro/ | product |
| https://www.vulncheck.com/advisories/wordpress-pl… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Wpsymposiumpro | WP Symposium Pro |
Affected:
2021.10
cpe:2.3:a:wpsymposiumpro:wp_symposium_pro:2021.10:*:*:*:*:*:*:* |
Date Public
2021-11-11 00:00
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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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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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
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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.
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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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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.