Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7E2A331A008A93F0697B3D1EBB5A76AB382838DC947472A82FCC75C4FEBC50DD16495 |
|
CONTENT
ssdeep
|
384:SIIItkSRQhIIIII93lBHAXhP21mAVkEJLdM+sKXC1VuyLOwkapGpW:LIItkJhIIIII8JuJGwxAKXqV/LRkapB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6e3713c1c3969c3 |
|
VISUAL
aHash
|
00f1ffff3f181830 |
|
VISUAL
dHash
|
87cfcbb5ed73f0e0 |
|
VISUAL
wHash
|
00f5fb7f3f181830 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c888c0c,0000716969000000,87cfcbb5ed73f0e0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)