Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185E2967251106B3B02E393D9F361676FE3E38289EB82061243FD875D0BD6E41DE67626 |
|
CONTENT
ssdeep
|
384:oea4192Z5S1mJ1y1msCChY9xhz0tbAaIIF83GLIBcqld0vaqIYsOy2+y9BH4cCUl:oea4+XWYhgtEadFyq7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243b612ed38b8e9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
ccccc8c8ccccec00 |
|
VISUAL
wHash
|
0cfc6000043effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3c1869696c1c3c3,0880900458988000,dcccc8d0c8ccccec |
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.
Pages with identical visual appearance (based on perceptual hash)