Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148710D71904689BF40838AD89B756B8BB3CAC305DF474F0952FE934D0FCAD86CEA9561 |
|
CONTENT
ssdeep
|
48:tGOBOWGcC97INcLyj0MlKssO0CGlaOGrE7ylFRUg7Ec7dJgnPAErlsb/O5fO8iMx:tfGb9sNSOoAuN71 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd6d3212126d6dcd |
|
VISUAL
aHash
|
009ff3fbffffffff |
|
VISUAL
dHash
|
6934767265449200 |
|
VISUAL
wHash
|
009f7a7a7f34084f |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
6934767265449200 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.