Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118829635B2481209225674A1F0E133A6B7274A3E3B461CB4B566C61FD2DC73FB1727E9 |
|
CONTENT
ssdeep
|
192:FeQLDJ5Zs08jEGlHPbDIotgpigW7EJRBVTC19zWDED6Rd9sH6L/u:FeQLDJns08jEGlHPH4yEfi29saLG |
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)