Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16FA1EF3391144E1A5B62D2A1AFE6F12DC7629540C164AE62FAEE12CF1EC1DE1DC53733 |
|
CONTENT
ssdeep
|
48:yJRfCO7lol27b9mAQ+LCS5bYr6YdpLBSMvYjujRIojgxIgfLz5L2lTVxhWPukwBf:yN7lolEJWSnCR5uzz5khqMQ0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc9d31c69b31ce31 |
|
VISUAL
aHash
|
001a3e3c38384000 |
|
VISUAL
dHash
|
36b6727061e08481 |
|
VISUAL
wHash
|
0b1f3f3e3cfcc040 |
|
VISUAL
colorHash
|
3800b000040 |
|
VISUAL
cropResistant
|
800020231b000080,36b6727061e08481 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.