Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B23A53108D56F6B5193D3C8A310E60BD396C68CE3BB854AF5DE871E1AC5D94C82AF98 |
|
CONTENT
ssdeep
|
768:eXqyJ88L2A0z+CU000+4dT3gO/Dbmvpo6KwzGbnfd2dJy3//8xbgZf:eXqyJ88aA0VU0cYT3gO//UooCbnAO8xG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416eb4bcb9a9694 |
|
VISUAL
aHash
|
fd0006060600ffff |
|
VISUAL
dHash
|
61cceccccccc3933 |
|
VISUAL
wHash
|
ff0006060606ffff |
|
VISUAL
colorHash
|
130000001c0 |
|
VISUAL
cropResistant
|
002149616149014a,96d6e8b284710f8e,e0103a702c2d3313,c8ccacccccecccc8 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.