Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A763ADB06044AA3701D3D2E4637D2B4BBAE0828AC953575E97F9C39D4FEFD01DD22A58 |
|
CONTENT
ssdeep
|
384:1iJ444WPZTuHHDqQIgXb/bnbLbb+QSjtTzIpy049pzWFjcIG7wzaGzyj2dOBV4MV:16444k0DdDb/6k6YvOBVZYZdZMfL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
909ceac195b594f3 |
|
VISUAL
aHash
|
ff000f1f7e7e4000 |
|
VISUAL
dHash
|
b0313cfcf4d4cfcc |
|
VISUAL
wHash
|
ff011f1f7e7e4000 |
|
VISUAL
colorHash
|
1b000008640 |
|
VISUAL
cropResistant
|
0080a4c0a0a00033,142a4ab566542baa,332dfcfcd4d4cfcc |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.