Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194A38933411875274437C6D530B55B3BD2E69E4FFAA70A010EECDBEA1BFACA0745A11A |
|
CONTENT
ssdeep
|
1536:cLz4NP/y9svbliCdJ/gXjCFtSuCa2jG2Ao:imAQk3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d363ed1a9c699243 |
|
VISUAL
aHash
|
00006000040460ff |
|
VISUAL
dHash
|
98c8c8c2d8dcc3b8 |
|
VISUAL
wHash
|
006c70303c0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04618e8e8e8e6904,c20480815a5a8090,98c8c8c8e2dcccc3 |
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.