Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169B36933411875274477C6D430A56B3BE2E68A4FFA970A014EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:dKSSNLz4NP/y9svbliCd/muyynuIFtWAuCa2LX2ZP4:8SImAqmuyynuT4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343bd38b838e533 |
|
VISUAL
aHash
|
00202000000030ff |
|
VISUAL
dHash
|
48c8c8c8c8e4d598 |
|
VISUAL
wHash
|
007060707c70ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
0000000118588090,19c8c8c0c8c8e4d4 |
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.