Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5C2B832A0006A3751A3C2DEB361672E51E7530ADB86065952FE43BD2BE3D54CEBB43D |
|
CONTENT
ssdeep
|
384:qy6hTHzIRCNUS96WBdVdvenvqjZFPWgzOUIYsOy2+y9BH4cCUIe:J6hT4WpdvenSJz17sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243d53a9d2998b9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8ccc0c8cdcd8b00 |
|
VISUAL
wHash
|
0c7460206465ffff |
|
VISUAL
colorHash
|
39038000200 |
|
VISUAL
cropResistant
|
0080800030b08000,c8ccccc8c8cdcd8b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.