Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1A37A33421875274437C6D530A55B3BD2E69A4FFAD70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:4MLz4NP/y9svbliCd9kl5nYagxoFtiuCa28y2O9:vmAWk/YaK7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d607b430fd3cc545 |
|
VISUAL
aHash
|
02243000000000ff |
|
VISUAL
dHash
|
94ccc4c8c88c8cb2 |
|
VISUAL
wHash
|
467e7c30644606ff |
|
VISUAL
colorHash
|
31008001600 |
|
VISUAL
cropResistant
|
0080812030008080,d6ccc4c0c8d88c8c |
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.