Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6E1FEF1D000ED3B475386D9A7BA6B1B7791C349CB07094493F893AB9BCACA0CB1169D |
|
CONTENT
ssdeep
|
192:QInbzD715lt8iIGhk7yXMZpDh54zoMydcqw:QCnf1Zy7uMZLMydcqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b338cc66c64ccc |
|
VISUAL
aHash
|
e7e7ffe7ffffff00 |
|
VISUAL
dHash
|
0c0c080808000000 |
|
VISUAL
wHash
|
04042424e7ffff00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c0c100808000000,0000000000000000 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 63 techniques to evade detection by security scanners and make reverse engineering more difficult.