Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16AD2557160546A3B02D393DAB365672FB2E3C28DEA86061543FD831D4FE7E40DEA351A |
|
CONTENT
ssdeep
|
384:3eaowc2ca91d1u1Nx3ZzlVd1UEeIZcsfiIBWFHqAEvtcYAIYsOy2+y9BH4cCUIe:3eaoWyDlFZZcbV7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243b612cd38bce9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
ccccc8e0c8cccc00 |
|
VISUAL
wHash
|
04fc60300c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cdcdcdc3c3c3,0880900458988000,dcccc8c0c0cccccc |
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.