CVE-2026-19800 (GCVE-0-2026-19800)
Vulnerability from cvelistv5 – Published: 2026-09-09 03:28 – Updated: 2026-09-09 15:08
VLAI
EPSS
VEX
Title
Mail Mint <= 1.31.0 - Authenticated (Custom+) SQL Injection via 'status' Parameter
Summary
The Mail Mint – Email Marketing, Newsletter, Email Automation & WooCommerce Emails plugin for WordPress is vulnerable to SQL Injection via the 'status' parameter in all versions up to, and including, 1.31.0 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. The $wpdb->prepare() call does not protect against this injection because the attacker-controlled $contact_filter_query fragment is concatenated into the SQL format string before prepare() executes — prepare() only processes %s/%d placeholders and cannot sanitize content already embedded in the format string. REST API JSON bodies are parsed from php://input and bypass WordPress's wp_magic_quotes(), meaning double-quote characters in status array values reach the SQL sink unescaped. This makes it possible for authenticated attackers, with administrator-level access and above, to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database. The required 'mint_read_contacts' capability is a plugin-specific capability not assigned to any default WordPress role; it must be explicitly granted by an administrator, making this effectively an Administrator+ vulnerability.
Severity
4.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-09 15:07 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
8 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| getwpfunnels | Mail Mint – Email Marketing, Newsletter, Email Automation & WooCommerce Emails |
Affected:
0 , ≤ 1.31.0
(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.
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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