Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D56354319000E83B02D786C95635671BA6E6834ECA434A45BFF983EC6FDBD5CDE32529 |
|
CONTENT
ssdeep
|
1536:Dq67V+5b5ep4LU5veGiXywNYKI1AAwvzLzpAqiNhFp/FN/X0d7QHySuNsIxt72:8LU5yzLA+d7DSuNx72 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86dfaae0de8f0074 |
|
VISUAL
aHash
|
ffff003c00000000 |
|
VISUAL
dHash
|
69e9e46994c5cb35 |
|
VISUAL
wHash
|
ffff3ebf72000000 |
|
VISUAL
colorHash
|
0b400e00000 |
|
VISUAL
cropResistant
|
6160616949614061,18e4e47060696969,ece46844d4cbc335 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.