Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6C2C771A100663B5197C3C97721B72FA2E39289DB8B180952FC531D0BD7FA0DE2766B |
|
CONTENT
ssdeep
|
768:JSCy5NByy941RxLYTpxXvP7sOy2+y9BH4crIe:PyGVY7Xn7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936bf512cd0894ed |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c3c3c14cbc00 |
|
VISUAL
wHash
|
c0ef3130000cffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
008080084c808000,14094be3c1c0dc3c |
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.