Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189D296327050263F5293C3D5B760F71EA6E39249DA8A0905A3FC875D4BE7F94DE2342A |
|
CONTENT
ssdeep
|
768:4eFy5NdEHt45g7h2VNR7NRyelGo1qGf/17sOy2+y9BH4cLIe:jHtp7hleoC7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d43eb42db1c1 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
8cc1c3e3cd8cd300 |
|
VISUAL
wHash
|
00fdf1710000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,8cc9c3c3e3cd8cd2 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.