CVE-2026-92975 (GCVE-0-2026-92975)
Vulnerability from cvelistv5 – Published: 2026-10-10 05:31 – Updated: 2026-10-10 05:31
VLAI
EPSS
VEX
Title
Groundhogg <= 4.8.3 - Unauthenticated Privilege Escalation to Support User Identity Confusion
Summary
The Groundhogg — CRM, Newsletters, and Marketing Automation plugin for WordPress is vulnerable to Privilege Escalation in all versions up to, and including, 4.8.3 via the `create_support_user()` function. This is due to the function identifying the support account solely by matching against publicly hardcoded constants — `user_login` `'groundhogg'` and email addresses `'support@groundhogg.io'` / `'help@groundhogg.io'` — where the `in_array()` email-equality check at line 238 is not a security boundary because any user fully controls their own email value. This makes it possible for an attacker with an account whose `user_login` is `'groundhogg'` and whose `user_email` matches one of the hardcoded support constants to have that account silently promoted to administrator — and additionally to super admin on multisite when the triggering administrator holds `manage_network_options` — resulting in full site takeover. Exploitation requires a two-actor flow: the attacker must first obtain or pre-plant an account with the hardcoded credentials (possible when open user registration is enabled or another account-creation path exists), after which a legitimate administrator must invoke the support-access feature via the `submit_ticket` or `process_send_support_access` entry points to trigger the promotion.
Severity
8.1 (High)
CWE
- CWE-269 - Improper Privilege Management
Assigner
References
7 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| trainingbusinesspros | Groundhogg — CRM, Newsletters, and Marketing Automation |
Affected:
0 , ≤ 4.8.3
(semver)
|
guessed |
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"time": "2026-10-09T17:14:41.000Z",
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}
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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.
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- 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
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