Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DB37A33411875274437C6D530A55B3BE2E69E4FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:VKLz4NP/y9svbliCdpPKaFtiuCa28y2O9:emA0KJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342f93a9c699647 |
|
VISUAL
aHash
|
00006000040460ff |
|
VISUAL
dHash
|
d8c8cccaecccc3b8 |
|
VISUAL
wHash
|
006470603e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4d4d4c1208,c004800158588090,d8c8ccc8caccccc3 |
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.