Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14253DAE638996056076290D3B0BF364AF33A186F791C15A1B0B4CBE571F88E5606BF4F |
|
CONTENT
ssdeep
|
768:4yWusPcNwG/WuyFvtLoRH8n+r2R/jwq/uLjCfMD5/1XYM1qzT1nUSLF9zZMQ4bIv:lw3KsGNyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b322938ccdcecccc |
|
VISUAL
aHash
|
e7c7c7c7c7c7c7c7 |
|
VISUAL
dHash
|
0c0d0e0c1c1c0c1c |
|
VISUAL
wHash
|
07030303c3c3c3c6 |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
0c0d0e0c1c1c0c1c |
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 695 techniques to evade detection by security scanners and make reverse engineering more difficult.