Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0332471415569AF310BB0D4EA307F8E70D1E22FCA17568A6EF47EBA3ED2D908C36194 |
|
CONTENT
ssdeep
|
768:SyPu7PvZ//uzal0reepbhd7qKImO4eLJ4JmdkP/7JeIZiMbID/c1f7zcIs:ij0reWqEP0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3963c349597c761 |
|
VISUAL
aHash
|
7e00787e60600060 |
|
VISUAL
dHash
|
c4d1cac8c8cacac4 |
|
VISUAL
wHash
|
fee0787e7860007e |
|
VISUAL
colorHash
|
38202010000 |
|
VISUAL
cropResistant
|
c4d1cac8c8cacac4 |
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 95 techniques to evade detection by security scanners and make reverse engineering more difficult.