SafeMode - Analysis: coruscating-fenglisu-b6a7d3.netlify.app

Visual Capture

Screenshot of coruscating-fenglisu-b6a7d3.netlify.app

Detection Info

http://coruscating-fenglisu-b6a7d3.netlify.app/

Detected Brand

Rackspace

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

c1f098af-33d…

Analyzed

2026-07-27 10:17

Final URL (after redirects)

https://coruscating-fenglisu-b6a7d3.netlify.app/

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T19751FD704068EC23A682DAD0BAF9EB1A6249C365CB035B05D2F4938D19C9C82CD5A7B9
CONTENT ssdeep	48:b/wULK4aFEyBtWi+1b9u9oYXgidK+f+fgTbQbgefUVbqn9Br:OFFE07GOgeL+Yesw9p

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	b131c6cf99336465
VISUAL aHash	ffe3c3cfdfffffff
VISUAL dHash	20069e9990780c00
VISUAL wHash	ccccc0cc1c3c3030
VISUAL colorHash	07000030000
VISUAL cropResistant	20069e9990780c00,00430b0b0b854101

Code Analysis

Risk Score 50/100

Threat Level ALTO

⚠️ Phishing Confirmed

🎣 Credential Harvester

📡 API Calls Detected

https://formspree.io/f/mpqvoalo

📊 Risk Score Breakdown

Total Risk Score

70/100

Contributing Factors

Active Phishing Kit

Detected kit types: Credential Harvester

Credential Harvesting

Credential harvesting detected with 1 form(s) capturing sensitive data

🔬 Comprehensive Threat Analysis

Threat Type

Credential Harvesting Kit

Target

Rackspace users

Attack Method

credential harvesting forms

Exfiltration Channel

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

Risk Assessment

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

⚠️ Indicators of Compromise

Kit types: Credential Harvester

🏢 Brand Impersonation Analysis

Impersonated Brand

Rackspace

Official Website

N/A

Fake Service

Credential harvesting service

⚔️ Attack Methodology

Primary Method: Credential Harvesting

Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.

Secondary Method: Client-Side Form Interception

JavaScript intercepts form submissions before they reach the fake backend. This allows real-time credential harvesting and validation without server round-trips.