Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16153B57012149C3792C3C6EDA234770EB581E2ADCF070691D7F4877EABD6DA1EE22199 |
|
CONTENT
ssdeep
|
1536:MfXy5WlTbXbdxLBCgx4Zrrp72uQCLSmKfhPbF6xhpOvOKBPhOLUwuF47hbhX980m:MR4z7dRLJrmGqdX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b48356ef73fa0488 |
|
VISUAL
aHash
|
ffffffffffffff00 |
|
VISUAL
dHash
|
0cccf33b17270034 |
|
VISUAL
wHash
|
e7673f818185ff00 |
|
VISUAL
colorHash
|
07200018000 |
|
VISUAL
cropResistant
|
0ccce13b27272731,044334c4c4d42443 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.