Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8E1FCF0D000ED3B475386D5A7BA6B1B7691C349CF03194593F893AB9BCAC60CA1559D |
|
CONTENT
ssdeep
|
96:TkyXnbzD71tDlt8v67McdtGytgSFi4OX3HFk+XZz/bt5YYff2J:QGnbzD715lt8iIGtGy2d1zTnYcfw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34ce4e64c9919 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
0c0c080808080000 |
|
VISUAL
wHash
|
efe7efe7e7000000 |
|
VISUAL
colorHash
|
07000038080 |
|
VISUAL
cropResistant
|
000c08100c0c0c00,0000000000000000 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)