Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194B38A33411875274437C6D130A55B3BE2E69E4FFA970A014EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:mjLz4NP/y9svbliCdxDFMFtiuCa28y2O9:gmAiFf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342f93a9c6d9643 |
|
VISUAL
aHash
|
00006000040460ff |
|
VISUAL
dHash
|
98cccce2dcccc3b8 |
|
VISUAL
wHash
|
006470381e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04699696868e2000,c004800158588090,d888ccc0d0ecccc3 |
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.