Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDC2B532A114273B12A7D3C57791F71E92E38288EA85091653FC879D1BE7E90DE3352E |
|
CONTENT
ssdeep
|
768:JS5y5NY7TygyV/k+qWmby7sOy2+y9BH4crIe:4T4fz7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53e9e2ccc82 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
8cc8c0c8cdc70e00 |
|
VISUAL
wHash
|
00e478302613ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
4480800458988000,8cc8c0e2c8cde70e |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.