Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1B32A753958B53756B343D760AB2603B3B5811F980E0C20B3A4ED9D67BDC8B9433E9A |
|
CONTENT
ssdeep
|
1536:JIIukqBj4O6XFfbsQmlo2h2wV9LHd8tVPTMn57Bdluq++iX8z:O4dXjUMAL98n0dH++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99366e6e90916b6c |
|
VISUAL
aHash
|
0000187e1e181818 |
|
VISUAL
dHash
|
9630f1f8f031b2b2 |
|
VISUAL
wHash
|
1a3c3c7e3e3c3c18 |
|
VISUAL
colorHash
|
3a038000000 |
|
VISUAL
cropResistant
|
a0a48080cc8884c4,9630f1f8f031b2b2 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.