Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C69346319729763B40BAD4D1AA25577BB3B3F50AC5C30651A3F8C35C7BC4D88AE2193A |
|
CONTENT
ssdeep
|
768:x3IVc4gO6NGlN3Cw/DgydgMygMkskD660O:xR4gO6NuZd+PkDv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e36b9d99623694c1 |
|
VISUAL
aHash
|
ebe1e1c1e1ffffff |
|
VISUAL
dHash
|
4b43070f4b20170e |
|
VISUAL
wHash
|
e181e181c1dfc3e7 |
|
VISUAL
colorHash
|
07600008001 |
|
VISUAL
cropResistant
|
4b43070f4b20170e,64658082870647c7,81071feffcb0e161,715c9191e2160603 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.