Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6F2C69B314465E5C1F387CC981065942187EF5FCE62877082EC4E3A27E35A1A789F7E |
|
CONTENT
ssdeep
|
768:FOdI1lJHGsCvLe+6cHRhs4jY7yUjJoHVTx:FOGonM7ex |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
add2a5d089add2a9 |
|
VISUAL
aHash
|
fffff53ffd000303 |
|
VISUAL
dHash
|
928d2d67118f16ce |
|
VISUAL
wHash
|
ffffc03fc5000303 |
|
VISUAL
colorHash
|
13407000000 |
|
VISUAL
cropResistant
|
8c0ce080b2128b83,c3d0e0730ebfce34,c9c8b0b088b18e8c,828d2567198f16c6 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.