Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE426333A500DE2D8E9B518CF2C49648525EC345FB3248C6B1A4A1FF7BC9DF069693AD |
|
CONTENT
ssdeep
|
192:AlYOYc8cHchF0388kKxb5LMcnthWeNWbaExVfMmUU8VCoHk5:tc8cHchF038EVExVfMmUFCoHm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d755545d54765388 |
|
VISUAL
aHash
|
e6fee7e7ff3d83fb |
|
VISUAL
dHash
|
0c080c0c717b5514 |
|
VISUAL
wHash
|
e6e7e7e7fd0000c0 |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
0c080c0c717b5514 |
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.