Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102522E23FA009D6A899B16C8F1C48989411DD385FB3148CAB17481FFBBD0DF169E979E |
|
CONTENT
ssdeep
|
192:cK3JwdzMcnthWeNWbSPoxUMwexlQMcnthWeNWbrf2pvT0VfMmUU8VCoGa:YvfMjf2pvT0VfMmUFCoGa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3e4c6363624c1c |
|
VISUAL
aHash
|
009f1fefefffffff |
|
VISUAL
dHash
|
5930381818000000 |
|
VISUAL
wHash
|
00030484073f3130 |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
5930381808000000,0041212121212180 |
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.