Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AEC2B7316154663B2693C3CCB261B76FA2E3428DE785151653FD436D0FEBE80EE23529 |
|
CONTENT
ssdeep
|
768:Ize4HM/FeMWkArX4gW2viF8f7sOy2+y9BH4crIe:eqWVhF77sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3439432bc3cb1e9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
ccc8c0c0c8cccc00 |
|
VISUAL
wHash
|
06746070404effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,dcc8c0c0c8c8cccc |
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)