Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B54BD234159792A4437C7D024B99B7AD1B6DE4BFAA70A010FECC7F63AF9C50741A22D |
|
CONTENT
ssdeep
|
1536:4B/31RRhFyVjvL7rNXCuaEKqVqrEMqN5RplUgQmTa3MZo+Hd1+40USHWG84wusA3:hOQogtfQwDwS2yLHN7SE4Y4H |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e852c2be126eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
a8d183331c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
61969096d7d49094,2a7575592838b3b7,38789d9c8c8c8d8f,a66564baa2535345,82a48a8e969ae482,8c003a3727300e0e,88c0e1d1802a1394 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.