Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F33B6319208B0620B7A4FF4E8BD41171297995FF9B2A4609D6AF7E634C3FF4AD5E408 |
|
CONTENT
ssdeep
|
1536:rPtZeia5NrTafUp/G/kMv5XMMNia5NrTafUp/SHo7qZjispgNmzUhwaE+GnIWnI+:CHo7qZjispgNmzUhXE+GnIWnIjiD99jN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b332cc87c6ce19b8 |
|
VISUAL
aHash
|
ffc7c7c4c76fffff |
|
VISUAL
dHash
|
cc0f9d098dd98e36 |
|
VISUAL
wHash
|
67c3c5c0c50f6f83 |
|
VISUAL
colorHash
|
06600010040 |
|
VISUAL
cropResistant
|
cc0f9d098dd98e36,8623b3bbd3e32327,0008303232120800 |
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 421 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)