Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184C270756150673B52A3C3CC7221BB2EA2D3C28EEB89054653FD876D0BDBE40DD2742A |
|
CONTENT
ssdeep
|
768:++eU79/HXsIOwL9+YXyv7sOy2+y9BH4crIe:pJHb9BO7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3419432fc36b2e9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
dcc0d2c8c8cccc00 |
|
VISUAL
wHash
|
06784060644effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,dcc0d0c0c8c8cccc |
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.