Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C83D84A5455202E472B40E388B71FC9F7791C2FF92916E294B887B5B39ECF13169B0B |
|
CONTENT
ssdeep
|
768:HyWuPWH/y/u51RFLcG8n+CWj/ur2s1Z5RSL1nU9TH+9X8UV2jsbK9uhrMft11Wp9:7eS3p6yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91d56e4da9c1b295 |
|
VISUAL
aHash
|
f9004f4f0f046001 |
|
VISUAL
dHash
|
033c989a981cca9b |
|
VISUAL
wHash
|
fb006fef0f0c7601 |
|
VISUAL
colorHash
|
39601000080 |
|
VISUAL
cropResistant
|
fca4a4b2b2d2c6c7,0000000000000204,60c4c484a0828280,033c989a981cca9b |
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 475 techniques to evade detection by security scanners and make reverse engineering more difficult.