Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFD29731A0609A3B41E785C8B7727B2EA3E7434AC6460444D6FD83BD4F97E08ED73695 |
|
CONTENT
ssdeep
|
768:wer84KxT7daF7yR5zGUJknuG7sOy2+y9BH4crIe:E4KxTJaXUqnuG7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c30bb53ad82cbc8e |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
48c8c0c0c8ccc100 |
|
VISUAL
wHash
|
003c70e0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
028080004c888000,59c8c0d0c8c89cc8 |
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.