Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DC29531E0006A3F419792D9B371A33AA6E3528BE786091552FCC3AD4BE7D94DE33917 |
|
CONTENT
ssdeep
|
768:SSby5NPySPe4KV70dBPf7sOy2+y9BH4crIe:da4yH7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d265fc32e93c90c9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
9cccc4c8d8cc3c00 |
|
VISUAL
wHash
|
40f67800006effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
d245314d4d715596,1080800458988000,9cccc4c8e8d9cc3c |
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.