Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19EB38B33411875274437C6D530A59B3BD2E69A4FFAA70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:2VLz4NP/y9svbliCd5YCr79FtiuCa28y2O9:umAoN7O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361f83abd6d9340 |
|
VISUAL
aHash
|
00006000040470ff |
|
VISUAL
dHash
|
9888c0caccece398 |
|
VISUAL
wHash
|
00647838260effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4d4c041000,c004800158588090,d888c0c0eaccece3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.