Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED53F52116816A2F29D393E06760EA49FB46F344D36B8B4C63EC824B7BDAC71FC551B4 |
|
CONTENT
ssdeep
|
768:j76XcNK0VfYK04EV2i7K0T9iI52iL0uK0aMA/i:a0Vd04ES0hVUeC0VB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b246b9ec1b3ccc1a |
|
VISUAL
aHash
|
0000200004ffcfcf |
|
VISUAL
dHash
|
b8cdccc8cc263f3b |
|
VISUAL
wHash
|
0064740466ffcfcf |
|
VISUAL
colorHash
|
32200000006 |
|
VISUAL
cropResistant
|
1806361e3b3b3b3b,a8c5cdc8ecc8cccc,0100000000000000 |
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.