Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15CC2B831B1406A37538382DA73706B2E52E2878AE7850115A2FD936E8FD3E54EE7743D |
|
CONTENT
ssdeep
|
384:4CQepBbtqIRFRuuWyrdVlxgOcWJC5ejaQEhEIYsOy2+y9BH4cUUIe:fQepBxjzTgOcWgMQm7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c247d53a992999e9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8ccc8c8cccd8b00 |
|
VISUAL
wHash
|
047c70300465ffff |
|
VISUAL
colorHash
|
39038000200 |
|
VISUAL
cropResistant
|
0080800030b08000,d8ccccc8c8cc8d8b |
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.