Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C88124310019CF3BE16369F0F5696D0DC1E6C249CB231947A3E8836F6BC9E91C5676C8 |
|
CONTENT
ssdeep
|
48:TR1prS2wz6BswzHwzFwzQ9Ewz5wzRgwztwzuwzeS3wzKw4wJG2QSv+4nGn7/mUtc:TNy92PS4eS/GTUq7VXcpSv8T9D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a64ab5a5a55a5aa6 |
|
VISUAL
aHash
|
0707070707070707 |
|
VISUAL
dHash
|
2f2e2d2f2e2d2e2e |
|
VISUAL
wHash
|
8707070707070707 |
|
VISUAL
colorHash
|
3a007000000 |
|
VISUAL
cropResistant
|
140016162b330001,0101010101010101 |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)