Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19823B63008D56F6B659382C89310A65BD3A1854DE3B7C68AF6DEC31B4BC5DC4C87AF98 |
|
CONTENT
ssdeep
|
768:0l0hRKj2a7/ibCVi/YQTU5e7O/oem5kxozkcKpLnbgIrkjYnT9kD:0l0hMyaqdAQTce7O/oepoGpLnwYnT9kD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebebc8ebc894 |
|
VISUAL
aHash
|
fd060606060efff9 |
|
VISUAL
dHash
|
61ccecccecfc1b33 |
|
VISUAL
wHash
|
ff0606060606fff9 |
|
VISUAL
colorHash
|
0e000000180 |
|
VISUAL
cropResistant
|
0021896161890152,96d6e8b094710f8e,84181b2c33333313,f8e4c8e0e0f0e2e2,ccccececccecacec,d2b16161e1e3c7c6 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.