Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175D29431B010363F129BC2CA7761F76EA2E39209E746091683FD839D4F97E50DD6362A |
|
CONTENT
ssdeep
|
768:HSFy5NAKaxnAY60N/77sOy2+y9BH4c1Ie:NaxnAYNT7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363fc389929c3c3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1808ccc0cc4d9f00 |
|
VISUAL
wHash
|
00ecf0003c07ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0480a00458988000,9408ccc0c8cccd8f |
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.