Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6147933421975264133C6D530B95B3AE296AE9FFA930E010FECD7FB1BE9CA1741A119 |
|
CONTENT
ssdeep
|
1536:Y7/kKgXzNwdw96Rw2Fa1QlrBnPj3DLPbwdw96Rw2Fa1QlrBnPj3D8:Bpy5Zbpy5y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9296496dd16eb233 |
|
VISUAL
aHash
|
3c2e2e2e2e040008 |
|
VISUAL
dHash
|
d4dcccccdcec73d8 |
|
VISUAL
wHash
|
3c3e6f7f6e06002c |
|
VISUAL
colorHash
|
09009000180 |
|
VISUAL
cropResistant
|
80006667b1692080,a2a0b2b080713180,b3694c8692929b9b,d4dcccccdcec73d8,200c707171062000 |
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 202 techniques to evade detection by security scanners and make reverse engineering more difficult.