Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10CC286326100363F029783C9B761B72FA2E3D24DDB5A091562FD835D6BE7E90DE1352A |
|
CONTENT
ssdeep
|
768:lSCy5NGiq92tWtK3jo4nOdK627sOy2+y9BH4cLIe:sq8OOnuK627sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8363f138fc4cc6c5 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c49c0e0f0f9fd00 |
|
VISUAL
wHash
|
002f7818180effff |
|
VISUAL
colorHash
|
11018000600 |
|
VISUAL
cropResistant
|
2080802058d08000,1c19c9e0f0f1f9fd |
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.