CVE-2026-85984 (GCVE-0-2026-85984)
Vulnerability from cvelistv5 – Published: 2026-09-26 17:28 – Updated: 2026-09-26 22:51
VLAI
EPSS
VEX
Title
miniOrange OTP Login, Verification and SMS Notifications <= 5.5.5 - Unauthenticated Authentication Bypass via 'mo_wp_login_intent' Parameter
Summary
The miniOrange OTP Login, Verification and SMS Notifications plugin for WordPress is vulnerable to Authentication Bypass via the mo_wp_login_intent parameter in all versions up to, and including, 5.5.5. This is due to a missing password-intent guard in the skip_pass_fallback-enabled configuration branch of the mo_by_pass_login() function, which treats administrator role membership alone as sufficient authentication whenever the unauthenticated, unverified POST parameter mo_wp_login_intent is submitted with the value otp, causing mo_get_user() to skip wp_authenticate_username_password() and resolve a WP_User purely from a username lookup. This makes it possible for unauthenticated attackers to log in as any existing administrator account by supplying only a known username and an empty password alongside mo_wp_login_intent=otp, with no password or OTP verification required. Exploitation is conditional on a site administrator having simultaneously enabled the following plugin options: WP Login OTP, Login with Only OTP, Allow Users to Login with Username and Password, and Admin OTP Bypass.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-26 22:44 UTC
CWE
- CWE-287 - Improper Authentication
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| cyberlord92 | miniOrange OTP Login, Verification and SMS Notifications |
Affected:
0 , ≤ 5.5.5
(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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