Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18CA38B33411875274437C6D130A55B3BE2E69A5FFA970A010EECD7FA2BFAC60B45B11A |
|
CONTENT
ssdeep
|
1536:QN6Lz4NP/y9svbliCdfZJY5r5QRiE6FtiuCa28y2O9:NmAqZJwQRiEp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d707b434bd34c545 |
|
VISUAL
aHash
|
02042000000004ff |
|
VISUAL
dHash
|
94ccc4c0c8cc8cb2 |
|
VISUAL
wHash
|
467c7c7060640eff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0080812030008080,d4ccccc0c8c88c0c |
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.