Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8E162E1C504DD37432289D5F7F52B5BB991C359CB02098453F843AB9BDBCA0CA2669E |
|
CONTENT
ssdeep
|
96:Tkf7EH9oh4lzH0XfeG9Edt73VfOwvFQehXWHFVe5X6z/jt732qQPJ:QYH9oh4lzH0X19EdHfbgGUz7UqQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e44e61db715a7446 |
|
VISUAL
aHash
|
00e3c3c3ffffe7c3 |
|
VISUAL
dHash
|
090686960e200e96 |
|
VISUAL
wHash
|
00c3c3c3c3ffc3c3 |
|
VISUAL
colorHash
|
060000001c1 |
|
VISUAL
cropResistant
|
160686962e208e96,090909090c090909,2449c9c983a3eb49,41b0d4aae4c461f0 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.