Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C324033A600DD2A8D9B85C8F2C49589515DD385FB3148C6B2B491FF7BC4CF169A83AE |
|
CONTENT
ssdeep
|
192:5zNGAs4daHuyJGHtdx2McnthWeNWbyfMmUU8VCou1:XscaHuyJm+fMmUFCou1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b939c74530e6cc39 |
|
VISUAL
aHash
|
878f8f878fffffff |
|
VISUAL
dHash
|
1e18181c1c120000 |
|
VISUAL
wHash
|
020e0e060e00ffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
1e18181c1c120000,8797860696060606 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.