Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1D141F0D454ED3B435386D9A7F56B0BB791C345CF020944A3F883AB5BCECA0CA12A99 |
|
CONTENT
ssdeep
|
96:TkCFI4zHcQWSTNtL9VDEwenFNUKXzHF1uXGHF66XXX/uW5R:QoI4zHcORR9eweT1pxXW0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc4eb3b7a4449999 |
|
VISUAL
aHash
|
f0e0c0f0ffffffff |
|
VISUAL
dHash
|
652101c428000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
061c0000000 |
|
VISUAL
cropResistant
|
652101c428000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.