Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107E3F8F5A3F8A2E8E80BC7F8E662A476316B34FF7F56C65851941E94F66108D884DC80 |
|
CONTENT
ssdeep
|
1536:m8ANd8P8PcMr/MuwWzZ0ueE++6Pc/Xy8ksKhY6N:vrdN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8acc75f138228adf |
|
VISUAL
aHash
|
ffffbd3d3c000000 |
|
VISUAL
dHash
|
9170696971300410 |
|
VISUAL
wHash
|
fffffd3d3c000000 |
|
VISUAL
colorHash
|
18200030000 |
|
VISUAL
cropResistant
|
0008303030300800,9170696971300410 |
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 74 techniques to evade detection by security scanners and make reverse engineering more difficult.