CVE-2026-12215 (GCVE-0-2026-12215)
Vulnerability from cvelistv5 – Published: 2026-09-11 03:39 – Updated: 2026-09-11 13:46
VLAI
EPSS
VEX
Title
OTP Login & Register Woocommerce <= 2.7.2 - Unauthenticated Authentication Bypass via Brute Force
Summary
The OTP Login & Register Woocommerce plugin for WordPress is vulnerable to Authentication Bypass via OTP Brute Force in all versions up to, and including, 2.7.2. The vulnerability exists because the OTP rate-limit attempt counter in `process_otp_form` is keyed exclusively on the attacker-controlled `xoo_ml_user_ip_data` cookie's `ip_address` field, allowing unlimited counter resets by simply rotating the cookie, while the OTP itself is generated with PHP's non-cryptographic `rand()` function over a default space of only 9,000 possible values (1000–9999), and both the OTP issuance endpoint (`xoo_ml_login_with_otp`) and verification endpoint (`xoo_ml_otp_form_submit`) are registered as unauthenticated `wp_ajax_nopriv` actions with no nonce or capability checks. This makes it possible for unauthenticated attackers to brute-force the OTP for any registered account and obtain a full WordPress authentication session — including for administrator accounts — via `wp_set_auth_cookie()` in `login_user_with_otp()`. Exploitation requires the attacker to know the target user's registered phone number, which is used to trigger OTP issuance via the unauthenticated `xoo_ml_login_with_otp` endpoint.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-11 13:09 UTC
CWE
- CWE-434 - Unrestricted Upload of File with Dangerous Type
Assigner
References
7 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| xootix | OTP Login & Register Woocommerce |
Affected:
0 , ≤ 2.7.2
(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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