Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F563D73326446A364D3B81C8C218375D9793F646E7534EC0B2E946BDCFD2EB1B92178A |
|
CONTENT
ssdeep
|
1536:1GiEqbrI6SKpPx93g95ItwYpUAgAYOYVPZIaX2r:1GiEqbrI6SKpPx93g95gwYpUAg5VxIaK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec4ff1c63092b21e |
|
VISUAL
aHash
|
ffb1001010ffffc3 |
|
VISUAL
dHash
|
0f6269a121a30e16 |
|
VISUAL
wHash
|
ff30001010ffffc3 |
|
VISUAL
colorHash
|
06600018000 |
|
VISUAL
cropResistant
|
0f6269a121a30e16,15696171414d032b,0e3236674666a32b,033272b1f4fcb8dd,6165a4aeb0e1611d,83325256d6d66969,66ce9aca6a3a69cd |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.