Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3428333A100DD2E4D9B928CF5C49588516ED345FB3248CAB1B091BF7BC5DF069A93AD |
|
CONTENT
ssdeep
|
192:vRwUEWYcocCgz0UxH+CPvMXMcnthWeNWbmIFMMIgT7sfMmUU8VCo9:ScocCg5+CPvMxIFMMIgT7sfMmUFCo9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3625c4c76685c72 |
|
VISUAL
aHash
|
00ffffffffffffff |
|
VISUAL
dHash
|
22cc0c0c0c000000 |
|
VISUAL
wHash
|
00a70303273f3d3c |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
0c0c0c0c0c000000,0020202010c6c610 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.