Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7A1A63DD568193317978256EE7CA64773E043474A022F102AAEB599EDC3EF8E212099 |
|
CONTENT
ssdeep
|
96:TH7X88L/s82Fh/jDljzVljWlj8ljMD77j1EDeMoRj8Hr8bxx3B0JOzwuoEz+6wec:vQjnbImusruiJ0CXeaAe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93336ccc336ccc66 |
|
VISUAL
aHash
|
00003c24243c0000 |
|
VISUAL
dHash
|
00082848282a0404 |
|
VISUAL
wHash
|
070b3f27273f030f |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
00082848282a0404 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.