Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BEE110E1C444ED37435286D9B7F66B1F76D1C349CF02194493F883AB5BDECA0CA22599 |
|
CONTENT
ssdeep
|
96:TkfW1DtSTBJ8v67Gvo6RF7G5F3SXPHFf4BgX0/HFlOXTz/JuHY3zEmSTyR:QfW1DcD8icLT7GcOMz8HgzEDk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc4cf6764ccc4ce2 |
|
VISUAL
aHash
|
000000180000ffff |
|
VISUAL
dHash
|
748c32b210081000 |
|
VISUAL
wHash
|
9000181818ffffff |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
0182a2a2a2a2a241,0182a2a2a2a2a280,82a2b28c32b2b2b2,0000000000000000,74a410b2b2320c10 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.