Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD12DF31705D11583066B8E2E0F636A1BB2B167E7E8B18F075A1DE1FC2AC65FF061A64 |
|
CONTENT
ssdeep
|
96:7xAoJMhGNlvCsl7pR6MqkDZX5ISns08mrEEeJjjpT0PPBnsHtILXPu:FAixDJ5Zs08EEE9sH6L/u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c161af1cf3c94cb2 |
|
VISUAL
aHash
|
ffff00000000ffff |
|
VISUAL
dHash
|
0202d4d49c301300 |
|
VISUAL
wHash
|
ffff00000000ffff |
|
VISUAL
colorHash
|
33030000040 |
|
VISUAL
cropResistant
|
0008021313800000,0008001e1e000400,86d4d0d4dcb43233 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.