Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7B10271A196A86B0671C2F0EAB9F72D63824104CB521B446AF8538D6F97DA8DC3319C |
|
CONTENT
ssdeep
|
96:D95oZU7oZUeaxtA9MJ5t/J0ltRCJdt3JgdNusFo3tuMYaZiB072FoEFv:bHeaxKu5nsPad3KP84Bagv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e13e46711d6a9559 |
|
VISUAL
aHash
|
000001014befe8ff |
|
VISUAL
dHash
|
0bab9797929ad1d0 |
|
VISUAL
wHash
|
00010141ebeffdff |
|
VISUAL
colorHash
|
0a006000000 |
|
VISUAL
cropResistant
|
808c8c8d8c343131,60e0e1b5accef838,b3b8bb82111d6281,0bab9797929ad1d0 |
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 72 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)