Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189C2A43271007A3B11D793CAB761E72BA2E2520EEB87055563FC83AD4BE7C54DE6311A |
|
CONTENT
ssdeep
|
384:uSkZZfCjNXcPJI1zVSY7d9NK0ErOKZejOiGpecfGbIYsOy2+y9BH4cCUIe:uSkZZfQ5REsjspez7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc2ce542d6b2 |
|
VISUAL
aHash
|
000000200000ffff |
|
VISUAL
dHash
|
c488ccc0c8c0cc00 |
|
VISUAL
wHash
|
00006c7c3878ffff |
|
VISUAL
colorHash
|
3a000000418 |
|
VISUAL
cropResistant
|
0880800458988000,c490ccccc0c8c0cc |
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.