Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113321233944B9E276847E1CBF670771A21C0C5C5972626C6AEF8572E6BCACE1DC127A0 |
|
CONTENT
ssdeep
|
192:Xoygv3lel3FaOn30eiGmxRSzNuAb66dZZn7LVcduhL56+Up/g7tfWnQqjPYeqkw:XoBl8nh3mKZfHZZ7BCC0P2JwRPLqN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3a381084c5e77f7 |
|
VISUAL
aHash
|
00ffff0000000000 |
|
VISUAL
dHash
|
b08c8c3004000000 |
|
VISUAL
wHash
|
ffffff3e00000000 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
90888c8c8c8c8cb0,8000008080808080,0000000000000000 |
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 106 techniques to evade detection by security scanners and make reverse engineering more difficult.