Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16AC29372A0503B3F039783D97720B71EA2E39249DB46090562FC876E5BDBF50DE6352A |
|
CONTENT
ssdeep
|
768:+S5y5NV6Yg/XctV51RU/e7sOy2+y9BH4c1Ie:R1sjWm7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53ad93c8cc4 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9cccc0c8c9e70e00 |
|
VISUAL
wHash
|
00ec78202c07ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480800458988000,98ccccc8c8cde70e |
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.