Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17BC285716140673F4697C3C9B261B72EA2E39249E786050643FD87AD0FEBF50EE23526 |
|
CONTENT
ssdeep
|
768:+edpGXJqy+PLDjJ0fysR7sOy2+y9BH4crIe:FG8LZ+p7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3479432bc38b1e9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcc8cac8c8cccc00 |
|
VISUAL
wHash
|
06706060644effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,dce8c8c0c8c8cccc |
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.
Pages with identical visual appearance (based on perceptual hash)