Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4020EE1D114ED3B435685C5B7B56F0F7692C349CB070A4193F883ABABCACA0CE22499 |
|
CONTENT
ssdeep
|
96:Tk3ozaXSDdSTJ8v67MgddtRfxyttkSSWFkGXrHFCKXSz/uxxt36QY3btiMU70STw:Q3oz4SA98iIadjfxybXUzG/x6lEMU7NM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1934eec06ce6c93 |
|
VISUAL
aHash
|
ffffffffefc3ff00 |
|
VISUAL
dHash
|
20181c081e166806 |
|
VISUAL
wHash
|
dfe7c7c7c7c30000 |
|
VISUAL
colorHash
|
07202000180 |
|
VISUAL
cropResistant
|
201a0816089e1641,008423cccc208000,0000000000000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.