Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132D2A472B050263B12A3C3D6BB21B71FA2E38249DB9A080562FC875D5BD7E51DE1346A |
|
CONTENT
ssdeep
|
768:LeFy5NFTxi2vKPpfL9UhQ/JeIUO7sOy2+y9BH4crIe:/xieKPohyQc7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d43abc2da5c3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
dccdc3e3cd8cd300 |
|
VISUAL
wHash
|
00fdf1310400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,dccdc5c3cbcdacd2 |
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.