Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE1241E1C544CD27036285D6F7F56B5FB692C349CB06098493F883AB6BDBCA0CA12699 |
|
CONTENT
ssdeep
|
192:QzhyP7keOlzH0X1BfEdxPuxmZ2rxmZhHRxbZqQR:QzhyoQ+3P2mZGIzTbZF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0c34c9e65c6ccce |
|
VISUAL
aHash
|
ffc7ffc3c7dfffc3 |
|
VISUAL
dHash
|
049c609e9c30600f |
|
VISUAL
wHash
|
00c3ffc3c29e9f81 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
049c609e9c30600f |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.