Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8D2B93661006B3B41A3C2C9B371A33E93E7434AEB56054692FD87AD4BE7E94CE33516 |
|
CONTENT
ssdeep
|
384:HSby5NHyWOtwLnfMC81AWsFxNAHqdxscsezHzrIYsOy2+y9BH4cUUIe:HSby5NHyWFmeTzn7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d261fc32cd3c90e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
8cccc8f8c8dc3c00 |
|
VISUAL
wHash
|
40fe6800204effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d715596,1080800458988000,9cccccd8e8c9dc3c |
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.