Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161313FE05844B82B5F33C0D5A6A3771D6692C289C3C255CD55DC4BDE1AECD65CC43370 |
|
CONTENT
ssdeep
|
48:drptkfkriIqIB8k5UeoTEviImGJ7z1PPiIyog0nYtU:dOIqCWTEKIm4PAIyTU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a64c4c32b19bb3b3 |
|
VISUAL
aHash
|
1000ffffe7e7ffff |
|
VISUAL
dHash
|
202400300c0c081e |
|
VISUAL
wHash
|
fd00ffffc0c0c280 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
202400300c0c081e,0000000000000000 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.