Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171E3F8F5A3F8A2E8E80BC7F8E662A476316F34FF7F56C65851981E94F26108D484DC81 |
|
CONTENT
ssdeep
|
1536:f8ANd8P8PcMr/MuwWzZ0ueE++6Pc/Xy8ksKhY6v5:irdR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b313139b931dd64 |
|
VISUAL
aHash
|
00003c3c3c3c0024 |
|
VISUAL
dHash
|
9c9a707861614c49 |
|
VISUAL
wHash
|
04003c3dfcfce4fc |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
9c9a707861614c49 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.