Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3844BE053E026BE519787E8B6307357F24B65BEEA33E888E3DC46456BD7C69CD00690 |
|
CONTENT
ssdeep
|
3072:KDDtcSdZtXZeiHPCuuUZs5RwL4ZujVgub5tIZwr7LfqLLaZtmZeiHPCuu1Zs5RwB:KnqUAe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ab464659adb2437 |
|
VISUAL
aHash
|
fe000e3d0c023c19 |
|
VISUAL
dHash
|
d4ac387969c4c831 |
|
VISUAL
wHash
|
ff040e3d0c367e19 |
|
VISUAL
colorHash
|
380000080c0 |
|
VISUAL
cropResistant
|
d4ac387969c4c831 |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.