Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129D295346244162B91C3C6B2B6B2BFB976EDC18BD6239DD8B7F4C11E6BC5C54CD422A0 |
|
CONTENT
ssdeep
|
384:Nf5Y0eVC6P4DAgHddTfQQ3wvVJk2v55hh/jwdhu6rxRth3roUa87x:/Y0ekcZoP2zYw61ZkUf7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed93921c92c33a6d |
|
VISUAL
aHash
|
fff3f1f1d1d1f1ff |
|
VISUAL
dHash
|
691313333333132b |
|
VISUAL
wHash
|
99f1f1919191f1c3 |
|
VISUAL
colorHash
|
07002000480 |
|
VISUAL
cropResistant
|
691313333333132b,05c14b929383a2b2 |
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 74 techniques to evade detection by security scanners and make reverse engineering more difficult.