Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188436DE53651F2258E7342E740AF341A333D652F6C0D05A0E228EE9EA5F449AF067FD9 |
|
CONTENT
ssdeep
|
768:FXYj6Ll+CuxoSBemTpiDGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:hLfaoXIpyzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b18ece3161ce139b |
|
VISUAL
aHash
|
ffffffc3c3c3ffff |
|
VISUAL
dHash
|
4c141c969e9e0e0e |
|
VISUAL
wHash
|
20dfc3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000010030 |
|
VISUAL
cropResistant
|
4c141c969e9e0e0e,aab2a2aab2bab2c4,6c00888888888c4c |
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.