Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9223E7074488D3781CB8ED99179970AB1E5C302CA271689F6F987E85FDFC2ACE23250 |
|
CONTENT
ssdeep
|
96:T/6hniwo8ek2pzZRaOdmvqxl/84mTjyc+TIqJTZ/4ua2tb4SLs4lfbAJY7vCcwYa:D6Vho3d0jyc+sqgXn8dD7q9YCp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cc6433cc669966 |
|
VISUAL
aHash
|
ffcfffe7efc7c3e7 |
|
VISUAL
dHash
|
14140c0c5a5d4d4d |
|
VISUAL
wHash
|
c300e7c7c7c3c3c3 |
|
VISUAL
colorHash
|
07000070000 |
|
VISUAL
cropResistant
|
0096061014141054,100c0d1a5e4d4d0d,0c0c0c0c0c0c0c0c,1d7c799a99199a9b |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.