Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12003EAF24298AA5A4046CBB8FF36BB92B26750F8FFB649C4C7B4DB8854D1CE1DC49054 |
|
CONTENT
ssdeep
|
768:xs3hxi2Jfsiy2JfsiDm4FcuxvvmFyWvA9Gs7Nb:xQu2J1y2J1DmUEyWqNb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6139b6666cecc24 |
|
VISUAL
aHash
|
e7e7ffc3c3c3ffff |
|
VISUAL
dHash
|
4d4c608e8e8e7006 |
|
VISUAL
wHash
|
21003c0003030bff |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
4d4c608e8e8e7006,30c98c843289c830 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.