Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C141BEB50019CD7B1742C6E4A3E57F2EEAD2CA36CD837941A6F853AA4BD3E14CE06065 |
|
CONTENT
ssdeep
|
24:hh/CrYDoZP/1erCR2rtNLVP97H29UNAacagZFwNcIBcUnHU97oHet7oMAsIVm/Z:XoZH8XhVV7W2umEw+IBcmm7oGoLvmh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dcc833738ccc9999 |
|
VISUAL
aHash
|
c0c0989818000000 |
|
VISUAL
dHash
|
0012323232320c00 |
|
VISUAL
wHash
|
f8f8f8f8f8d8c080 |
|
VISUAL
colorHash
|
00000000006 |
|
VISUAL
cropResistant
|
0000000000008080,8e8e92aa03868e92,0012323232320c00 |
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 280 techniques to evade detection by security scanners and make reverse engineering more difficult.