Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14EC2A671A024273B42E7C2C9B3A1B71EB2D3824DD74A151553FD836D4BEBE10BE27256 |
|
CONTENT
ssdeep
|
768:ne4L3BQktZK2kgYyJR7sOy2+y9BH4crIe:RzRoi7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3069438bc3cb5e7 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc8ccd4c8c8c800 |
|
VISUAL
wHash
|
067c74302044ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
cc00880258988000,dcc8c8ccc0c8c8c8 |
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.