CVE-2026-4133 (GCVE-0-2026-4133)
Vulnerability from cvelistv5 – Published: 2026-04-22 07:45 – Updated: 2026-04-23 13:43
VLAI
EPSS
VEX
Title
TextP2P Texting Widget <= 1.7 - Cross-Site Request Forgery to Settings Update
Summary
The TextP2P Texting Widget plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to and including 1.7. This is due to missing nonce validation in the imTextP2POptionPage() function which processes settings updates. The form at line 314 does not include a wp_nonce_field(), and the POST handler at line 7 does not call check_admin_referer() or wp_verify_nonce() before processing settings changes. This makes it possible for unauthenticated attackers to update all plugin settings including chat widget titles, messages, API credentials, colors, and reCAPTCHA configuration via a forged request, granted they can trick a site administrator into performing an action such as clicking a link.
Severity
4.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-23 13:43 UTC
CWE
- CWE-352 - Cross-Site Request Forgery (CSRF)
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| textp2p | TextP2P Texting Widget |
Affected:
0 , ≤ 1.7
(semver)
|
guessed |
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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
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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.
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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.