SafeMode - Analysis: ayesha-nisar1011.github.io

Visual Capture

Screenshot of ayesha-nisar1011.github.io

Detection Info

https://ayesha-nisar1011.github.io/netflix-ui/

Detected Brand

Netflix

Country

Unknown

Confidence

95%

HTTP Status

200

Report ID

5c7ed019-9ac…

Analyzed

2026-02-02 12:04

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1B89186785048153B42C347B1BB71AF2A7786C180DB571B1820E8C35FEFEAE05CD1A6A5
CONTENT ssdeep	96:nUkGYNpaQVzsWZpa7QY9wfGNlU9KWodkGYa:UANMwIWHowfSlUjodAa

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	cc6532cd3171ce33
VISUAL aHash	423030c03c3c1e05
VISUAL dHash	8e64aaa27060248d
VISUAL wHash	c63270e2be3e8707
VISUAL colorHash	39e00000000
VISUAL cropResistant	8282826262820098,8e64aaa27060248d

Code Analysis

Threat Level ALTO

⚠️ Phishing Confirmed

📊 Risk Score Breakdown

Total Risk Score

70/100

Contributing Factors

Credential Harvesting

Credential harvesting detected with 2 form(s) capturing sensitive data

🔬 Comprehensive Threat Analysis

Threat Type

Netflix Credential Harvester

Target

Netflix users

Attack Method

credential harvesting forms

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

Netflix

Official Website

https://www.netflix.com

Fake Service

Credential harvesting service

⚔️ Attack Methodology

Primary Method: Netflix Credential Harvesting

Fake Netflix login page with 2 forms. Victim enters credentials which are captured and transmitted to attacker's server. Page may impersonate Netflix official login to appear legitimate.

Secondary Method: Standard Phishing Techniques

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