Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133853803E35A5509B67A98D4F05B7BA23D480A4EA1094AF47BADCB397CCF1733620BD5 |
|
CONTENT
ssdeep
|
3072:TAgzqp+MlBKkybt7bYqTMy3qW03+sdE2eSfxK0zZedmSbMYvoNnc5k5rMb:kKkybt7bY35uMYvoNvrMb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58a75db20758a64 |
|
VISUAL
aHash
|
e7e7c3c3c3ffc3c3 |
|
VISUAL
dHash
|
86968e8e860c8696 |
|
VISUAL
wHash
|
c3c3c3c3c3c7c2c3 |
|
VISUAL
colorHash
|
06006000200 |
|
VISUAL
cropResistant
|
86968e8e860c8696,0e6e261652565617,717161638a4b4949,844bd391d3939546,91c9ad52d26babad |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)