Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D24D8B4972862BC5C0F43DEBA256864271F20FA7AD1CD78855DCEE086539D8CE47C8B |
|
CONTENT
ssdeep
|
3072:EwDhyX/oXZ4aFgqxFuCk/kbQ3AJK9Yr7vim:RhyAOYNQX95m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e69933ce66119966 |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7e7 |
|
VISUAL
dHash
|
4d4d4d4d4d4d4d4d |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
06000080007 |
|
VISUAL
cropResistant
|
0202020202020202,8080808080808080,b0b0cce000d09200 |
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 153 techniques to evade detection by security scanners and make reverse engineering more difficult.