Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AF273706140993700C393C4A736675BB3E2D2D9CF23474926F8C7ADAFDAD9ACC66285 |
|
CONTENT
ssdeep
|
384:T+/Sg1BTlDGVDGyxGXPGo+GVIGyBGXsGo1GVwGyQpGX2qzreLsFwljDeA66gt5cR:TwSs9tbqQgt5ck3RTXejZy+b3RyUb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6968069e9699cb6 |
|
VISUAL
aHash
|
ff060680800080ff |
|
VISUAL
dHash
|
0b0c2c0002100616 |
|
VISUAL
wHash
|
ff0686f08080c7ff |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
f0d4a25878b2c0f0,0b0c2c0002100616 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.