Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14103A432C185663B029382C6A6B27B9FB3D1824DCB630B9027FC839E9FD7C55DD26549 |
|
CONTENT
ssdeep
|
768:Wiw4BISY0WGA3e3h+anF3E4RSbUf7sTMIF:WT4BISY0W1MhJF3E8S07sTMIF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c04ab73bc5c0d5b6 |
|
VISUAL
aHash
|
ff0000100000ffff |
|
VISUAL
dHash
|
2a70e0d0b030c100 |
|
VISUAL
wHash
|
ff1070780000ffff |
|
VISUAL
colorHash
|
1b403000040 |
|
VISUAL
cropResistant
|
0004000e2e200400,c000400102822220,2070c0d0b0b0b0e0 |
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 90 techniques to evade detection by security scanners and make reverse engineering more difficult.