Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177C28831A1006A37529392C9B3E2771E91E3430ADB860569B2FD83BD0BE7D94DE73459 |
|
CONTENT
ssdeep
|
384:9OQepZYQGtRxf8sZXq5xy4RO8jEX0+3vj3cdKpQID6hIYsOy2+y9BH4cUUIe:QQepZl5LSEcjQV7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243dd3a9829b9c9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
38ccc4c8cd8d8300 |
|
VISUAL
wHash
|
0cf430006465ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,18ccccc8c8cd8d8b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)