Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8B32023415965274437C2D1306A9F3BD1A6DA9FFAE70A010EDCCBF66BF9CA0741B219 |
|
CONTENT
ssdeep
|
1536:tStpR4nXBKpSpFl26vGmoiM6zBlOlsQQ6rMrNi4R1U:YUMlTgx5E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9312ed3929cd65e1 |
|
VISUAL
aHash
|
00040404040effff |
|
VISUAL
dHash
|
5c8cccdc9c0c002b |
|
VISUAL
wHash
|
0006060e06efffff |
|
VISUAL
colorHash
|
12000008e00 |
|
VISUAL
cropResistant
|
4418aa9649b2904c,0000402020c00000,8000418181410080,00004080a0004080,88a436a9d2cc8c93,8c002957561e2b2b,c93cccccdcdc9c0c |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.