Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1558318FBD398A9B0B01373D9F0D2B2865357103ADB068ED8CA6C42B4B3D58594D77AE1 |
|
CONTENT
ssdeep
|
768:/iW2p6HOuXS5W5vH/J0FfsYkCkbzs+ikB6vQ:O8TQQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad39124667533e39 |
|
VISUAL
aHash
|
00df8bfbd3f3ffc7 |
|
VISUAL
dHash
|
c83636321636222c |
|
VISUAL
wHash
|
008b8bb38393ff87 |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
863632323626222c,00c0d8d8d8800800 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.