Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172D2B831F100273F039783CAB752F75EA3D3828AEA47051952F9935D4BEBE90E91395A |
|
CONTENT
ssdeep
|
768:q7Sky5NCoP3NwQq0qEuzU4QXO7sOy2+y9BH4c1Ie:tLXu1IO7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d362f8389d6c9c98 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
90cccccacc0c8300 |
|
VISUAL
wHash
|
00ec7c700e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,90ccccc8cacc0c44 |
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.