Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F71573BE07CC4176203D6E4F6417A0C96C3164DCDE5AF42E6A5096C239DCA0A99228E |
|
CONTENT
ssdeep
|
96:jTUyzwQPIuON8+w/rItQQzI+EVhI+EvtI+E1I+EhI+EZqUgRe0ON1r:jTUy3PIuOzwTItQKI+UI+OtI+eI+GI+O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad2dd0d2d2d23c2d |
|
VISUAL
aHash
|
ff0101ffff7fffff |
|
VISUAL
dHash
|
c0470763c3e3c3a0 |
|
VISUAL
wHash
|
7f0101033b1b7b7e |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
c0470763c3e3c3a0,8020202020c00000,8060901040008040 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.