Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEA22F308459DC3702D3D2E1E27657AF62D2C399CA631B5D67F8931DAFC6E96CE12014 |
|
CONTENT
ssdeep
|
384:rwY0Xvg3PfdiXxn7/481oVuoUd3roUa879ft:rwY0XvYaz4qmUf79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e807f88a53aa9f68 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
c4a4e2c8f0332b13 |
|
VISUAL
wHash
|
700000007cffffff |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
308889de4a8a8d30,b8a8515344402320,542b2b2b0b0f1212,84c4a6e0cad0d033,083032720fc8e017,14b2b23052a99646,2af231c8d8644000,183061612212120c,1232327170c4a000,6027dcb823000000 |
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 84 techniques to evade detection by security scanners and make reverse engineering more difficult.