Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F453A5B1A080BB7740D393E2A13B5725B3D2924AC767AAC677FC8B9E4FD6C40E903515 |
|
CONTENT
ssdeep
|
768:LQZELk+CuKoF22cUaxLafwbIR+XuqMit6IQSmHWF:Lq+CjoF22cUaxLafwbIR+eqMisI3mHWF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c398b8c78ec53c53 |
|
VISUAL
aHash
|
ffff003020000000 |
|
VISUAL
dHash
|
009888c0c0c0c001 |
|
VISUAL
wHash
|
ffff447c78706000 |
|
VISUAL
colorHash
|
11006000040 |
|
VISUAL
cropResistant
|
8181048181048098,98a8e0c860c0c001 |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.