Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DE131E0D000DD37475286D9E7BA6B4FB6D1C34ADF02098493F883AB5FDAC50CE12699 |
|
CONTENT
ssdeep
|
96:TkV45OYReSTJ8v67WpLtTtctGyty4XuF7uXbHFsO9XbdX/+zYBqHST5J:QWOYx98iQRTKtGyDBJXa0qyb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303fefc038cfc8c |
|
VISUAL
aHash
|
3f2f3f3f3fffffff |
|
VISUAL
dHash
|
d8ccdcdcd0000000 |
|
VISUAL
wHash
|
3323000000ffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
d8ccdcdcd0000000,f3c2b4b6b6b482f3,200c7071700c2000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.