Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECA29631A144673702A7C2D9B3E0A71B63E28249D74A061643FDC36C4BEBD41EF7B666 |
|
CONTENT
ssdeep
|
384:xge4PyqaNuQR5xy7qzbCq1YPj8UmhyKWIYsOy2+y9BH4cCUIe:Ce4Hwpyq1s8dhy97sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2069631bd3cbcac |
|
VISUAL
aHash
|
002400000000ffff |
|
VISUAL
dHash
|
dcc8e4c0c8c8c800 |
|
VISUAL
wHash
|
067c34206064ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
0c00980258988000,9cc8cce4c8c8c8c8 |
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.