Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C923C87291102833616F76DAF564B305D1D3DB0ECB8686E1A1FCA36A0EDACA1FD1741B |
|
CONTENT
ssdeep
|
768:f7TXWENrwLOCz2sW+P2/W1Z2zz2qz2E24P2/WdZ26/x9bkbdUxYmpiEBg:f7TXWENrCdWhWRWbe+JiEBg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc67479298cd4c3c |
|
VISUAL
aHash
|
242483df8fdfffff |
|
VISUAL
dHash
|
88c9b63434300216 |
|
VISUAL
wHash
|
000002cfcfdfffc3 |
|
VISUAL
colorHash
|
070002001c0 |
|
VISUAL
cropResistant
|
88c9b63434300216 |
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 217 techniques to evade detection by security scanners and make reverse engineering more difficult.