Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FC27472A1542B3B02A7C3CA77A1BB2A63D3828DC74A161553FDC36D0BD7E10EE27156 |
|
CONTENT
ssdeep
|
384:Cve4JdjpabTqt5xy3/orN/IRr/b7mPBgrCL04IYsOy2+y9BH4cUUIe:ce4JTJsotIB7m5grC7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3069639bd3ce4e4 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9ccc0c8c8c800 |
|
VISUAL
wHash
|
067c74302044ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
cc00880258988000,d4c9cce4c0c8c8c8 |
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.