Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A536274615256BB80C7D7F8E275AB2FE299C289CB67DE49F3E8438727CBC058D50260 |
|
CONTENT
ssdeep
|
768:cSXIYwDT7/85XQfjDHcQOI604U9Rox51CUf79F:cKIYwvj85XijzOI604UYz79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9193eeea9515b641 |
|
VISUAL
aHash
|
ff800e0e0e0300ff |
|
VISUAL
dHash
|
4001dcd8d81ebac8 |
|
VISUAL
wHash
|
ffc10e0e0e8700ff |
|
VISUAL
colorHash
|
06c00008000 |
|
VISUAL
cropResistant
|
c050674700371569,b0b8a2ad4d948c8c,4c084e7979cc08ac,6f5cb27468d08000,66269b4d23110026,000000000000000c,81dcd8d8d83fbaaa |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.