Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CC2A57161506A3B46A7C3CDB361A72EA2D3828DE747090643FE876D4FD7E00DD2396A |
|
CONTENT
ssdeep
|
768:Hewj8sJC/iF+UkTisSZ7sOy2+y9BH4cLIe:v8L/i8VTo7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343b436bc34b3e1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
ccc8c8c0c8cccc00 |
|
VISUAL
wHash
|
26706070044effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,ccc8c8c8c0c8cccc |
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.