Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1795300B3500B7A1FB7B547912757B799B38300C8BBB9955BA0EC4381FA83FE2C951219 |
|
CONTENT
ssdeep
|
768:IUvJQI3JQL7QRBw4mSY83rgB2H7Po35YL:BvJQI3JQvQRBLRYqu2H7PoJYL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b267cd3632194e4e |
|
VISUAL
aHash
|
00f7c7c7c7c7ffff |
|
VISUAL
dHash
|
0c2c0c0d0d0d1c1c |
|
VISUAL
wHash
|
00c7c7878787c7c7 |
|
VISUAL
colorHash
|
07201010040 |
|
VISUAL
cropResistant
|
0c2c0c0d0d0d1c1c,00130b3534330323,0000000000000000,81c34763d3f160c0 |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)