Flagged Threats

Emma Relief is a legitimate e-commerce site for a well-established supplement brand owned by Enclave LLC, supported by retail partnerships and a strong BBB rating.

AGFE is a legitimate AI-powered educational tool developed by Harshit Kumar, an active open-source developer with a verifiable online presence.

The website is a cryptocurrency-based gaming platform with a moderate domain age, but the inherent risks of crypto gambling and limited traditional business transparency suggest caution.

The website exhibits several indicators suggesting caution, primarily due to its very new domain and the nature of its high-promise financial services.

The website shows some technical security but has significant concerns regarding missing critical legal documentation for a financial service, suggesting a cautious approach.

While the site presents a professional interface for trust analysis, its own underlying identifiers (email, phone, and domain) are inconsistent and linked to known spam patterns.

The website is a highly suspicious dropshipping store characterized by contradictory branding, non-functional legal policies, and misleading claims regarding its business location and identity.

The website deadseov.com exhibits extreme red flags including a total lack of business identification, contact information, and professional metadata, suggesting it is a shell site or part of a deceptive network.

The website exhibits significant inconsistencies and potential deceptive practices, indicating a low level of trustworthiness.

The website is currently non-functional, displaying only a redirect message across all pages, which is a common tactic for cloaking content or hiding suspicious activity.

This website is a clear example of a hijacked or repurposed domain used for Indonesian gambling SEO spam, featuring technical metadata that points to entirely different websites.

Dedeseov.com exhibits the classic characteristics of a transient scam site, including a nonsensical domain name, a total lack of transparency, and aggressive measures to hide its content from automated analysis.