CVE-2026-4120 (GCVE-0-2026-4120)
Vulnerability from cvelistv5 – Published: 2026-03-19 06:46 – Updated: 2026-04-08 16:42
VLAI
EPSS
VEX
Title
Info Cards <= 2.0.7 - Authenticated (Contributor+) Stored Cross-Site Scripting via Block Attributes
Summary
The Info Cards – Add Text and Media in Card Layouts plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'btnUrl' parameter within the Info Cards block in all versions up to, and including, 2.0.7. This is due to insufficient input validation on URL schemes, specifically the lack of javascript: protocol filtering. The block's render.php passes all attributes as JSON to the frontend via a data-attributes HTML attribute using esc_attr(wp_json_encode()), which prevents HTML attribute injection but does not validate URL protocols within the JSON data. The client-side view.js then renders the btnUrl value directly as an href attribute on anchor elements without any protocol sanitization. This makes it possible for authenticated attackers, with Contributor-level access and above, to inject javascript: URLs that execute arbitrary web scripts when a user clicks the rendered button link.
Severity
6.4 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-03-20 15:16 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
8 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| bplugins | Info Cards – Add Text and Media in Card Layouts |
Affected:
0 , ≤ 2.0.7
(semver)
|
guessed |
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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
- 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.
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- 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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
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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.