Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196324F34A086A63782D3F3E1BB39876B73D1C29ACA53170962FAC3180FD7D95CC65251 |
|
CONTENT
ssdeep
|
192:pg6uxbILkso0hMdbaoSSRc7Tx0Sou0qrjpD0TQG/pB0N:pDkbwM0hSMxr/wO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d121b9b12f207 |
|
VISUAL
aHash
|
00f3f3f3f3f300ff |
|
VISUAL
dHash
|
3266666676569806 |
|
VISUAL
wHash
|
0033f3f333f300e7 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
7666666646765656,0000000004200c8e,00100cb2b2b20810,9100488892909096,926996966d969200 |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.