Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10023FB306800ED3A41CB9AE9967A562663F48355C6630188FAF4C3FD5BEFD69CB33064 |
|
CONTENT
ssdeep
|
768:4uyh3uIDaqzrKKkvawY8BP85dfyqABITgIO4ZLS4Z9THridNsIx/jtLp11EUf79Q:4uyh3uIDaqzrKKkvaFgP85dfyqAKT5Oi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f704d03fc02f8576 |
|
VISUAL
aHash
|
0000030b0400c0ff |
|
VISUAL
dHash
|
dcd4c6db587a1980 |
|
VISUAL
wHash
|
0702070f0f8fc3ff |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
7ce7e78f9ffedcf1,3ce7e7cf9ff7dcf1,7cefe78ebffed8f1,d9587a5e5f1f81b0,dcd4c6d3587a1f80 |
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 76 techniques to evade detection by security scanners and make reverse engineering more difficult.