Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC931F72627E1922510FB2D4A2B08B192683DB89C3534BF6627D52F67FCD8B67D1318C |
|
CONTENT
ssdeep
|
1536:prXdbJHDU6cyD6nDDTiD4yDI7tRlJfDxDd6DDXDKoUWl4X0mj5dqm5EiZIp+6eJM:hd6n3TM4cIdd1MzAt5dqm5EiZI4nC9Em |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
934c6e303bc1cde6 |
|
VISUAL
aHash
|
38007a4e0e0e6e0e |
|
VISUAL
dHash
|
c2e6e2989898d898 |
|
VISUAL
wHash
|
7a307a4e4e4e6e0e |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
c2e6e2989898d898,099964f131262b2b,d7693248cccc442c,9796c469a271f1e1 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.