Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB62C7709114147F5B578EC8BA61D6CD37EEF359EB068900B1A84598CEC7CF4F869871 |
|
CONTENT
ssdeep
|
192:CsZP60lpdFNrpLm0s7ZBUdTiqVxWlkDHYzPvl60eiYMlCGYcSjfCD6:JP66Nr5t0GLVxWoYzF/YMAGJS7CD6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666661999999999 |
|
VISUAL
aHash
|
d3e3dfdfcffff3f3 |
|
VISUAL
dHash
|
1425181a58202424 |
|
VISUAL
wHash
|
e0f0cccc043c3434 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
1425181a58202424 |
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 110 techniques to evade detection by security scanners and make reverse engineering more difficult.