Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15313EDB11247482BD27781C6E7452F9AA1C6A31AC6920D45FBF8877F8FEED10FC29464 |
|
CONTENT
ssdeep
|
768:UiT/V1zDXnMpbYFzeTO4iT/V1zDQrab8n/y9zjoZju+PPkAy2r9SY5iShUYZdepx:hnM2Fz2OElaF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
832d6a1632d2edda |
|
VISUAL
aHash
|
01037b6f26767c00 |
|
VISUAL
dHash
|
1bf2d6cecccca8a9 |
|
VISUAL
wHash
|
01137f6f266e7c50 |
|
VISUAL
colorHash
|
38002000180 |
|
VISUAL
cropResistant
|
1bf2d6cecccca8a9 |
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 134 techniques to evade detection by security scanners and make reverse engineering more difficult.