Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B5299B1569E24AA0101E057DD087F097DF750FE7FAB972211A87EBF38E2438C66D219 |
|
CONTENT
ssdeep
|
384:a3TrQLR6vHr302FdSRz8rXK0+zeE9rKRWYN:a3TrQLRUHrXdSRz8rb+zxrKRWYN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bccbc3c30a6d2cc3 |
|
VISUAL
aHash
|
f9dfd393ff83ff83 |
|
VISUAL
dHash
|
2b34363628b614a6 |
|
VISUAL
wHash
|
b9df8393c382c6c2 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
2b34363628b614a6,4501da8aac020145 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.