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
|
dcdc7323cc8c9989 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
0c303232b2320c40 |
|
VISUAL
wHash
|
fae0fcf8d8d890a0 |
|
VISUAL
colorHash
|
00000000007 |
|
VISUAL
cropResistant
|
8e8e92aa03868e92,0c303232b2320c40 |
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.