Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DF93FAA3E529223713B352817E943FCFF791C00DCF6A144296B98358DBD2FA56A5334A |
|
CONTENT
ssdeep
|
1536:sFngVTQv44xnVMaTWVcXCvphGd5paIM0iP5AkGqT/BpXoZQJoZrCOq0XWMgeKp+6:sBUHKIiqDBUvgCQqm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb94957b4c6ab083 |
|
VISUAL
aHash
|
fdfffff1818181e3 |
|
VISUAL
dHash
|
054aa523231b6b4b |
|
VISUAL
wHash
|
d4ffffb181818181 |
|
VISUAL
colorHash
|
06c00000080 |
|
VISUAL
cropResistant
|
054aa523231b6b4b,00002659c9401400,8801816155591931,80111373b2b0f0b0 |
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 138 techniques to evade detection by security scanners and make reverse engineering more difficult.