Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1839172750512EC3705C3D2F18AB6934F22E5CB8ADC670B1646F69B9C0FC6EC5CDA2221 |
|
CONTENT
ssdeep
|
96:dCaUvCORVQTNs24ba9mm3uNkRUXG9rziIF:dCZvCiQvrUXG9r2IF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb3f2b2a2a2a2a6a |
|
VISUAL
aHash
|
81ffbfffffffffff |
|
VISUAL
dHash
|
1b5062c8c4c4c0c0 |
|
VISUAL
wHash
|
00203c3c727e7e7e |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
1b5062c8c4c4c0c0,f76fb7959597efaf |
Fake WhatsApp site positioned to capture victims through SEO tactics, typosquatting, or paid advertising. Serves as entry point for multi-stage attacks including credential theft and malware distribution.
Malicious code is obfuscated using 2 techniques to evade detection by security scanners and make reverse engineering more difficult.