SafeMode - Analysis: gleam-1zk.pages.dev

Visual Capture

Detection Info

https://gleam-1zk.pages.dev/

Detected Brand

Gleam

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

f449381d-285…

Analyzed

2026-03-31 16:51

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T13AC1A7A3974CC23A0296C391B775F7A8F3BA81EAD4138941D3D4035E51E6FF8C666742
CONTENT ssdeep	96:TmuRIII1fI7I5IFI3IVVXnq1rr72Eyakl68LSwANuuyeNdaLTW7LNNOy9O:L5CssWQmVXnq1Ryh2Ju2l7LbOx

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	996666999966cc99
VISUAL aHash	0000183c18180000
VISUAL dHash	0028306832700800
VISUAL wHash	33333f3f3c3c0c0c
VISUAL colorHash	38089200000
VISUAL cropResistant	0028306832700800

Code Analysis

Threat Level ALTO

⚠️ Phishing Confirmed

📊 Risk Score Breakdown

Total Risk Score

40/100

🔬 Comprehensive Threat Analysis

Threat Type

Gleam Phishing Landing Page

Target

Gleam users

Attack Method

Phishing webpage

Exfiltration Channel

Form submission (backend endpoint not detected - likely JavaScript-based)

Risk Assessment

LOW - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)

🏢 Brand Impersonation Analysis

Impersonated Brand

Gleam

Official Website

N/A

Fake Service

Credential harvesting service

⚔️ Attack Methodology

Primary Method: Malicious Landing Page

Uses Gleam branding to appear legitimate in search results, social media, or advertising networks. Designed to redirect victims to phishing pages or distribute malware while maintaining appearance of authenticity.

Secondary Method: Standard Phishing Techniques

Uses typical phishing tactics including brand impersonation, urgency tactics, and social engineering to trick victims into providing sensitive information.