Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173F2C731A1003A3B519793CDB362EB3EA2D7524DDA46040552F9936D4FE3DA8EE2352F |
|
CONTENT
ssdeep
|
768:vvy5N2a9SqvUqfCSNexhXHjv9+es07sOy2+y9BH4c1Ie:m9aB9Dcr07sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc18914bc7cd |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c0fc3c3c07cf000 |
|
VISUAL
wHash
|
00f7f1700004ffff |
|
VISUAL
colorHash
|
39e00000000 |
|
VISUAL
cropResistant
|
1280800458988000,9c0fc3c3c3d0fcf0 |
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.