Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19602B7B3D084546F6251C3C0A1E2B66B8B66CA47DF225E55E7964BDAF584FF8F033108 |
|
CONTENT
ssdeep
|
96:HhqJ8rLJ8Gx1SJ83HWJFUJt1d0XhP3e2hG2tUthNPqVskMlspO/Qy+LfLGxGCsle:SqXskHqFUJt1d0XhRhG2iDNLENyx/7r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87086be77a764878 |
|
VISUAL
aHash
|
e63e1e3c7e666626 |
|
VISUAL
dHash
|
4cd4d4d494c4cccc |
|
VISUAL
wHash
|
a43c3e3c7e666624 |
|
VISUAL
colorHash
|
18200030000 |
|
VISUAL
cropResistant
|
31ad8d4e4e4e0e9e,b2959595b5a5a436,9cc0c69d24eafa73,c3c0b0901888cece,86c2dacdabe3c686,86cce8b072f8f472,4cd4d4d494c4cccc |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.