Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111E263348150A53B8B1758E5F570AF6E74EB930DCE23090A53FC8AD4AFE2C95CD291AD |
|
CONTENT
ssdeep
|
384:x/comsI81Ax3l3aOXmj4Ix83a5xfS5BgA6VEBqzp2FQ3/3aXe+g/5KrZvO+MWdk+:JZZl1SX0xS5iA6iQAe+lvOxWdz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
edc43b90c33a964b |
|
VISUAL
aHash
|
ffdbf3f3f3838181 |
|
VISUAL
dHash
|
6b37232363273b2b |
|
VISUAL
wHash
|
ff9391f1f1838181 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
6b37232363273b2b,7cbc9c7c64ecaea6,7c7f435cd0d3cdc9 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.