CVE-2026-16954 (GCVE-0-2026-16954)
Vulnerability from cvelistv5 – Published: 2026-08-06 06:00 – Updated: 2026-08-06 14:27
VLAI
EPSS
VEX
Title
AI Engine < 3.6.4 - Editor+ Sensitive Information Disclosure of API Key and Bearer Tokens
Summary
The AI Engine WordPress plugin before 3.6.4 does not redact secret configuration values before exposing them in an admin page's inline script data, allowing users with the Editor role to read the site's stored third-party API key and authentication tokens in cleartext, despite those secrets being restricted to administrators everywhere else.
Severity
6.5 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-200 Information Exposure
- CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://wpscan.com/vulnerability/badce355-e6ce-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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