Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151C2B8B1A0406A37559383C9B371A7AED1E7474DDB82061A92FD83AD07E3E44DF6341A |
|
CONTENT
ssdeep
|
384:yUQepZVRIRGeRD6gd2xVLHkqaCvinxL0cIYsOy2+y9BH4ciUIe:9QepZmd27LHkqQdp7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343d53a9c299cb9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8ccccc8cccd8b00 |
|
VISUAL
wHash
|
0c7420306465ffff |
|
VISUAL
colorHash
|
39038000200 |
|
VISUAL
cropResistant
|
0080800030b08000,c8ccccc0c8cdcd8b |
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.