Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C4274B15498AA3B40C7C3C5973AE7AB73E9825AE987120447FCC3DC8ED6D95CD27881 |
|
CONTENT
ssdeep
|
192:gcXlkYIIOGCGJBucpVkem5VpRF66ZPGOvEr7CG90tV/CaoAEjHiB/WQhWQ:5lLII7CG7uAiO6ZPGOvEfCG90tVTwHaL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e7ed6d32383890 |
|
VISUAL
aHash
|
60743c2c64181c3c |
|
VISUAL
dHash
|
ca496d69cd52f0dc |
|
VISUAL
wHash
|
647c3c3c7c007c7e |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
ca496d69cd52f0dc |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.