Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1A36833411875274437C6D530A55B3BE2E68A8FFAA70A014EECD7FA1BFAC60745B11A |
|
CONTENT
ssdeep
|
1536:2iVQLz4NP/y9svbliCdB5OtJ0LIunFtWAuCa2rX2ZP4:3VOmAKO30LIue4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343b538bc38dd23 |
|
VISUAL
aHash
|
00202000000000ff |
|
VISUAL
dHash
|
69c9c8c8c9d0532c |
|
VISUAL
wHash
|
007060707c70ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
000000012c2c8088,29c9c8c0c9c9d152 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.