Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D393F7F7D2D8AD25F20367E4F09073561257613ACF8A8AC8DABC42F8A3D6C994D33491 |
|
CONTENT
ssdeep
|
768:vNzHDDbzjCiW2p6kumS5WPe/J0FfacIwiWuu3dqoNzHDDbzjUZ+aWkGX1kEkWCO0:7XqcaUX1kEkpmkSa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed4592be124b3963 |
|
VISUAL
aHash
|
00000000dfffffff |
|
VISUAL
dHash
|
94c6c2d23636232c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03e00000000 |
|
VISUAL
cropResistant
|
36c6c2c23e36233c,0080949481000000,1a1b8dcccdc54746 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.