Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112D2A67271146B3B42E382D5B366771EA2D3D1CCC786050A42F983AD0BD7E94CD375AA |
|
CONTENT
ssdeep
|
768:Vly5N5WEpddVCFHH1kG7sOy2+y9BH4c1Ie:BWcHH1kG7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d664fc30b923d38c |
|
VISUAL
aHash
|
000024000000ffff |
|
VISUAL
dHash
|
9cc4cccccccccc00 |
|
VISUAL
wHash
|
00f47e240424ffff |
|
VISUAL
colorHash
|
1a000640200 |
|
VISUAL
cropResistant
|
cc00800258988000,9cc4c4cccccccccc |
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.