Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD13F73114C42B3F958342C1E311A64FD396C144E6769A9DE2EAC31F42D8ED9DC6BB9C |
|
CONTENT
ssdeep
|
768:ZQ4QJH+LvBx2M4iQqnlIJwMB5e+NTVoO/9LYd/5zCfLu/EVc0TBEJlz:ZQ4QJHUvBx2M4iQqnlWFB5XNVoO/Wd8e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9446eb4bba9a9694 |
|
VISUAL
aHash
|
ff000606060618ff |
|
VISUAL
dHash
|
69ccecccecec9118 |
|
VISUAL
wHash
|
ff0006060606ffff |
|
VISUAL
colorHash
|
130000001c0 |
|
VISUAL
cropResistant
|
0001496161490148,96d6e8b094710f8e,9000181a580c0d2d,c9ccecccccecccf1 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.