Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15424DD30A404AE3701E391D59AB0635B77D8E395CB730E5A7BF483397B96EB2EC02585 |
|
CONTENT
ssdeep
|
6144:uay3bE+taOPG44y0Mum/wL6JqmvtzMIAeJxkGX/m/I0ePMlhvyaYRzTjoTimm9Q0:419AU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a6a2560e5c5da97 |
|
VISUAL
aHash
|
001c3cbcbd3c3c3c |
|
VISUAL
dHash
|
d579797179797878 |
|
VISUAL
wHash
|
003c3cbdbd3c3c3c |
|
VISUAL
colorHash
|
19008008600 |
|
VISUAL
cropResistant
|
d9fcd8f4ceeaccec,eac6f0b1a27169e4,ccccb15d47134bf0,a84d69353961614b,d579797179797878 |
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 318 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)