Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15932E630C2591C0B427345DCF5B2D32D92DBC38EE2455668B77D23AA6BCDDA0C5E69C8 |
|
CONTENT
ssdeep
|
192:5KGtB5oMDuOKxeWha1Z1LeupB3fsGfgQUB9EjvYB6zHaNR:jpRK8WhaL19pB3fspQUIJrq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d15fe2f5d51c8a01 |
|
VISUAL
aHash
|
e6e63d98cae7e37e |
|
VISUAL
dHash
|
4c0c71329a0d86e0 |
|
VISUAL
wHash
|
e6c43d98c2c7c07e |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
4c0c71329a0d86e0 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.