Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AF1ECF0D044ED3B476386D9A7B66B1B7791C349CF03194493F883AF6BCACA0CA15599 |
|
CONTENT
ssdeep
|
96:TkrnbzD71tDlt8v67McdUSS8IGyt8YYrGfwvFteBXJHFFeNXyz/JtYDq2J:QrnbzD715lt8iIGmGySYyGv36MzzKqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1310ece4e8e1b9b |
|
VISUAL
aHash
|
e7c3c3c3ffffff00 |
|
VISUAL
dHash
|
9696969696400000 |
|
VISUAL
wHash
|
00000000c3ffff00 |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
9696969696000600,141408303030480c,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.