Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B13A571535211AF91238BD8B2D17738A1F6C796FA435C58F3BC42170F85CABEA726A0 |
|
CONTENT
ssdeep
|
768:e6whHTCKssaXTZMZiVMAII5aFWZM9/oAI0qGD1dVFMopXNw8nFDoGY4P+Yunfm0a:e6whzCKfaDZMBeAI0qGDBWopXNw8SYFr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c763df243c3c3838 |
|
VISUAL
aHash
|
a12c2c00003e3ebe |
|
VISUAL
dHash
|
47484946c2d45454 |
|
VISUAL
wHash
|
c1bcace0007e3ebe |
|
VISUAL
colorHash
|
3a030000440 |
|
VISUAL
cropResistant
|
47484946c2d45454 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.