Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172C29771A0086B3B02B7C2C9B3A2BB1E63D3428DD74A151957FD836E1BD7E10BE23156 |
|
CONTENT
ssdeep
|
384:Ae7zMlS4m+5U6godF/iSUzixlZav0ZIYsOy2+y9BH4cCUIe:Ae7zR4OM4+jZay7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3039439bd3cb5e1 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc8cce0c8c8c800 |
|
VISUAL
wHash
|
027c74302064ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
8c00980258988000,dcc9ccdcc0c8c8c8 |
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.