Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158F27431A2559E3B40A7D2E9F3A5633B22E6938AC946034483FC87BD0FE7D84FD26554 |
|
CONTENT
ssdeep
|
768:R18RoarxPV//Ip8zHbqRPxA3w4A2C0BKp1bwtfP5/mm6oh6:R18RR//Ip8fKp1bwtfP5/mpx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c375bc3c25b51685 |
|
VISUAL
aHash
|
02006c60200eff20 |
|
VISUAL
dHash
|
c698c8ccc23c1cc1 |
|
VISUAL
wHash
|
42007e6e6206ff7d |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
c698c8ccc23c1cc1 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.