SafeMode - Analysis: kciane645estar.github.io

Visual Capture

Detection Info

https://kciane645estar.github.io/amcewinmonsoon

Detected Brand

Microsoft

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

c0f96327-39d…

Analyzed

2026-06-15 10:12

Final URL (after redirects)

https://kciane645estar.github.io/amcewinmonsoon/

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T19941ED361054ADB7018382D1B7FAAB1B76D5C245CF931B0156ECC39C0FEAD46EE68295
CONTENT ssdeep	24:hR/OOcLuDfXZXBtRPa6ytEBisTz74u/90Zwig2wN9uIyG0/7lWyPoYncep0WxlX:TGdCPxBDmuiA4u/90ZwiglHalxjnX0e

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	881e7369d996a68e
VISUAL aHash	00003c3c18180000
VISUAL dHash	31cee5b1b2b3cdd1
VISUAL wHash	00087f3d187d6f6d
VISUAL colorHash	3100a000080
VISUAL cropResistant	b0f096a0b9bea1a9,31cee5b1b2b3cdd1

Code Analysis

Risk Score 60/100

Threat Level ALTO

⚠️ Phishing Confirmed

🎣 Credential Harvester

📡 API Calls Detected

https://ipapi.co/json/
https://formsubmit.co/0a8997087d87c2376c18cb1ab885081c

📊 Risk Score Breakdown

Total Risk Score

70/100

Contributing Factors

Active Phishing Kit

Detected kit types: Credential Harvester

🔬 Comprehensive Threat Analysis

Threat Type

Credential Harvesting Kit

Target

Microsoft users

Attack Method

Phishing webpage

Exfiltration Channel

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

Risk Assessment

HIGH - 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

Microsoft

Official Website

https://www.microsoft.com

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.