Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9C2A532A1006A3B41D7D3D973A1A32FA2E3424AEB97051593FD83AC4BE7D94DA33516 |
|
CONTENT
ssdeep
|
384:GSby5N2QUcIv1BIgw8GfyKq+DTEcv4hCp4mV8ceIYsOy2+y9BH4cUUIe:GSby5N2Q4oUa9WoaP7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d265fc12cd3c90e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9ccccce8c8cc3c00 |
|
VISUAL
wHash
|
40fe6200600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d715596,1080800458988000,9cccccc8e8c9cc3c |
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.