Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A42997D95A0103582235CD73475238EB2CAD00FC806BDD9AB7893CBAFD6A85611BB5F |
|
CONTENT
ssdeep
|
192:aHjE3NW9k0ieEV8lECu9mgH2ve8T70U741D70CmoKeUMmUIM:vsrdgWveKapp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a505da2333da1c7b |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
fef6b6b6cefe003a |
|
VISUAL
wHash
|
0203130202ffffff |
|
VISUAL
colorHash
|
07046000000 |
|
VISUAL
cropResistant
|
0d3cc485461c9463,fe80423838383838,ffb6f6b6b6cecefe |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.