Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBE27572A150AB3B03E7C2D5B6617B1EA2E3C28DDB46050652FC836D0FE7E40DD63666 |
|
CONTENT
ssdeep
|
768:OeaIpZQ92SaItfFnZXPPPD7sOy2+y9BH4cLIe:/pmtJdPPL7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f612cd3898ed |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
cccc40c8cccc8d00 |
|
VISUAL
wHash
|
04fc3030140effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cf8e8ec3c3c3,0880880458988000,dccc40d8c8eccc0c |
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.