Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193F2B631B1046A3F11A7C3C9B762F32EA2E39289EB46090593FD935D4BD7D91EC23529 |
|
CONTENT
ssdeep
|
768:cLy5NtTMPCoso4FL0hprUjiUIIIIIIIIIwYP7PIIMlZHN5a5hIIMeJEByB77sOy8:3MKosoWLtjiUIIIIIIIIIwYP7PIIMlQP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc12f90986cc |
|
VISUAL
aHash
|
000030000000ffff |
|
VISUAL
dHash
|
4c4dc7d3e2ecc800 |
|
VISUAL
wHash
|
00e77900203cffff |
|
VISUAL
colorHash
|
31e00008000 |
|
VISUAL
cropResistant
|
5080802058d08000,c44de1c7dbe0ecc8 |
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.