Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CEE2777361107B3F019391CAB250FB6AA3D2D34FD34A181696FC47AD4B97E00DA2776A |
|
CONTENT
ssdeep
|
768:AQIwDsZMm/GtiCgjGx7sOy2+y9BH4crIe:KCsZ/+7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c340f9329d6d96e1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d88cc4c0cc0cc300 |
|
VISUAL
wHash
|
006470382e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04304c4c4c4c2004,0080800058988000,d888ccc4c8cc3cc3 |
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.