Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B534CE83711F3254E7301E741AF3416333DB61B581D09D0A269EAA9E6B44F6B06BFC9 |
|
CONTENT
ssdeep
|
768:FOYjUyR2C4LQc9Hyfvl3Tpi1GMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/3:2yT4LQc9HyfZpmzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b18c9bcd66262766 |
|
VISUAL
aHash
|
e7dfc7c3c3c7c7c7 |
|
VISUAL
dHash
|
4c101e0e061e1e0c |
|
VISUAL
wHash
|
00cfc3c3c3c7c3c7 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
4c101e0e061e1e0c |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.