Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117E233709156AA3B02F392E0AB756B6FB3D5E2C8D943470516F8875C9FCBF84ED21092 |
|
CONTENT
ssdeep
|
384:PbV8Xc+VGeoBRkmCygUyD084mR8m9nVlmovK:PbEc+VfoBRk1WQ8y2ovK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f192f323c6c6cc8c |
|
VISUAL
aHash
|
ffcfdbc3c3c3c3c3 |
|
VISUAL
dHash
|
4c9ba38f96161616 |
|
VISUAL
wHash
|
ffc9d9c1c1c1c1c1 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
b1b19cd45277c451,4c9ba38f96161616 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.