Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180E4432AE3280B3CBE1E07DCD7E5B521205C01CB29347AA9E53B01B6E714DDE68779D9 |
|
CONTENT
ssdeep
|
3072:wWtEI1AdGwylMXTke0nj0ne0nG0nBjPjkdAdgDYZDYv26tklTTSvVVrXrErcb3kD:V14XTkujwtZcUs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96966d6d95953486 |
|
VISUAL
aHash
|
02747e6e7e000000 |
|
VISUAL
dHash
|
96e5ecdcecf07070 |
|
VISUAL
wHash
|
02fc7f7e7e3c1800 |
|
VISUAL
colorHash
|
3a04a201000 |
|
VISUAL
cropResistant
|
71b43c68cd8aec38,96e5ecdcecf07070 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.