CVE-2026-13597 (GCVE-0-2026-13597)
Vulnerability from cvelistv5 – Published: 2026-07-27 06:00 – Updated: 2026-07-27 13:52
VLAI
EPSS
VEX
Title
QRcode Login for WeChat <= 1.3 - Unauthenticated Account Takeover
Summary
The 微信二维码登陆 WordPress plugin through 1.3 does not properly validate WeChat webhook requests, as its signature check always passes, and it discloses the generated login code in the webhook response. This allows an unauthenticated attacker to forge a login event for any existing username, read the login code, and redeem it through an unauthenticated AJAX action to log in as that user, including an administrator, without a password.
Severity
9.1 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-287 Improper Authentication
- CWE-287 - Improper Authentication
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://wpscan.com/vulnerability/5e856219-ece5-4d… | exploitvdb-entrytechnical-description |
Credits
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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.
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