Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AD27371E184273B42A7D3C8B720672AB2D3828EEBD6591563FD439D0BE7E10DE53426 |
|
CONTENT
ssdeep
|
384:Le/GLZcHoviR/VMJsXQxDR+e2XoyHOxEqKrWgVwbOx+SRKzIuIYsOy2+y9BH4ciM:Le/GLZwMVlOolDMKn7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272bc3a9969c1c9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9c0cc8c0cdcdeb00 |
|
VISUAL
wHash
|
00c4f0603507ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,900cccc4c1cdcdef |
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.