CVE-2026-6642 (GCVE-0-2026-6642)
Vulnerability from cvelistv5 – Published: 2026-09-11 07:39 – Updated: 2026-09-11 20:30
VLAI
EPSS
VEX
Title
Media Library Assistant <= 3.35 - Authenticated (Author+) Stored Cross-Site Scripting via Bulk Edit Preset Export/Import
Summary
The Media Library Assistant plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the bulk edit preset export/import mechanism in versions up to and including 3.35. This is due to insufficient output escaping on preset field values when they are rendered in HTML attribute contexts in the mla_generate_bulk_edit_form_fieldsets() function and mla-bulk-edit-fieldsets.tpl template. While wp_kses() filtering is applied during preset export for users without unfiltered_html capability, this does not prevent attribute injection attacks since the malicious payload consists of quotes and HTML attributes rather than HTML tags. When preset values are retrieved and rendered, they are directly assigned to template variables without esc_attr() escaping and then inserted into input element value attributes via simple string replacement. This makes it possible for authenticated attackers, with Author-level access and above (upload_files capability), to inject arbitrary web scripts that execute when an administrator imports the poisoned preset and the targeted input field receives focus.
Severity
6.4 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-11 16:31 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 | |
|---|---|---|---|---|
| dglingren | Media Library Assistant |
Affected:
0 , ≤ 3.35
(semver)
|
guessed |
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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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