Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116E2617191806A3B02A3D3D9B760771FA2D3C24ADA831652A3FD835D0FD7E41EE63526 |
|
CONTENT
ssdeep
|
384:zea1SDIb/1A1a1PVMxtjW9nzG2xnpnJkKm/pHoACnEWIYsOy2+y9BH4ciUIe:zea1C6xG2xpnYI7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9243f612cd38b9e9 |
|
VISUAL
aHash
|
002400000000ffff |
|
VISUAL
dHash
|
ccccc8c0cccc0d00 |
|
VISUAL
wHash
|
04fc60300c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cdcdcdc3c3c3,0880900458988000,dcccc8d0c0cccc2c |
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)