Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153C2857360906A3B4393C2D9B6617B2EA2D7834DEB46090292FC836D0FD7E50DE33965 |
|
CONTENT
ssdeep
|
768:Xe/7Yw9qTDEA7o6ANz2TGmvbARzpnuTzNKz5dy4TakAk2y0dCQq/W+RU7sOy2+yj:U0w9qTDEA7o6ANz2TGmvbARzpnuTzNK4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2458432fd3cb0ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
ccc0c2c8c8cc8c00 |
|
VISUAL
wHash
|
067c3060440effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,dcc8c0c0c8c8cc8c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.