CVE-2026-116535 (GCVE-0-2026-116535)
Vulnerability from cvelistv5 – Published: 2026-10-31 07:46 – Updated: 2026-11-01 17:44
VLAI
EPSS
VEX
Title
SEOPress <= 10.3 - Authenticated (Subscriber+) Stored Cross-Site Scripting via 'display_name' Profile Field via %%archive_title%% Template Tag
Summary
The SEOPress – AI SEO Plugin & On-site SEO plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'display_name' parameter in all versions up to, and including, 10.3 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with subscriber-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. This is exploitable by any Subscriber who sets their display_name to a string containing the literal %%archive_title%% token alongside HTML event-handler payloads, as WordPress stores display names without HTML filtering and the plugin substitutes the token after escaping has already occurred.
Severity
6.4 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-11-01 17:34 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation
Assigner
References
9 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| rainbowgeek | SEOPress – AI SEO Plugin & On-site SEO |
Affected:
0 , ≤ 10.3
(semver)
|
guessed |
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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.
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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