Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D728535B1481209315678A1F0E132A6FB16493E3B465CB0B5A2CA0FE1DD73FB071BE9 |
|
CONTENT
ssdeep
|
384:FRQLDJas08BEBHPu1ymTCuwg8P/p5KsaLG:FRQLDJd08BEBHPuA3XPR5NaLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9c1873cd3696c32 |
|
VISUAL
aHash
|
ffff81818181c3ff |
|
VISUAL
dHash
|
020713132b332300 |
|
VISUAL
wHash
|
ffc381818181c3ff |
|
VISUAL
colorHash
|
17030000040 |
|
VISUAL
cropResistant
|
020713132b332300,0f33332f2f2b2360 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)