Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1670242B2916A593F6173C1C1D2BB733961E68289D94B160092EC83FD0ADDEB4FC23166 |
|
CONTENT
ssdeep
|
96:AaIY7ldI9/WO/qEPupAFztJ/PQMhQ0qdkUqZLRZUv9wvuVubtoe58WP/ebVILhih:eHoUhUW/8wvuVuhB3waTn2YTG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a6371c1d37371c1c |
|
VISUAL
aHash
|
00fff7e3ffffffff |
|
VISUAL
dHash
|
5604044f20343424 |
|
VISUAL
wHash
|
00860501d3fff3f3 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
5604044f20343424,099476d4d4547684 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.