Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CC3A9304245C97F09EB86D8D63A5659B1C8838AC25206C8F7F98B99CFDACD8FD2F154 |
|
CONTENT
ssdeep
|
1536:CsIxT44Q82xHt50+iZmRsaCwsfB0ogZOeN7O79F:C8B0jZCsaCwm0TO7T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd66b71a1ce0178e |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
16e3c7d7b3d00432 |
|
VISUAL
wHash
|
0200705018ffffff |
|
VISUAL
colorHash
|
02000400050 |
|
VISUAL
cropResistant
|
b870c89890c96238,2000e2e6c2163632,d623e7c7d7b333d0 |
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 129 techniques to evade detection by security scanners and make reverse engineering more difficult.