Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15EA43F6C93574BA65EA9236851A1404D302DE8E9EFB27363D8FF4633785E8C842F07E5 |
|
CONTENT
ssdeep
|
3072:YP28S3GJTNjSr66c5/MpwYwXYh820D0j0+dG:YPO3GJSAD0ndG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8da72da58da7252c |
|
VISUAL
aHash
|
c300003c18241818 |
|
VISUAL
dHash
|
b39316f170687032 |
|
VISUAL
wHash
|
dbff187e183c1818 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
8201c8535363a582,250c727356d6a9a9,a205425b3b1558a2,b39316f170687032 |
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 109 techniques to evade detection by security scanners and make reverse engineering more difficult.