Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141C29832A1402A3F529783C97361F72ED2E393C9DB8A181552FC435D4BD7E90EE1752A |
|
CONTENT
ssdeep
|
768:YLSCy5NBis/Q3NiVJaXW782k0c7sOy2+y9BH4cLIe:yiVFJk0c7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8363fc38fc28c3c5 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c49cad0f8f9f700 |
|
VISUAL
wHash
|
003f60181c1cffff |
|
VISUAL
colorHash
|
11010000e00 |
|
VISUAL
cropResistant
|
2080802058d08000,1c19cac8f0d8f9f5 |
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.