Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F92EEA55009F9370287F2C6A7F57A2EE6D28281C9634B41B6FD83581F93CC6F832756 |
|
CONTENT
ssdeep
|
192:FpnB6nuWUg0CRnTnTnTnhnkn3McLaPcV4XM5nz/nz/nzM4hnFj3BU08Gqs:FpnonuWTTThkxTTXH3BU0Us |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd1266e3164ccbb6 |
|
VISUAL
aHash
|
000018183cf9f1f3 |
|
VISUAL
dHash
|
0d3030b0b3332327 |
|
VISUAL
wHash
|
00003c18fff9f3f3 |
|
VISUAL
colorHash
|
0b000040007 |
|
VISUAL
cropResistant
|
9e968e8c8a8c8eb2,0d3030b0b3332327 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.