Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194B37A33411875274437C6D130A55B3BE2E6DA5FFA970A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:yZALz4NP/y9svbliCdZqrqFtiuCa28y2O9:2+mAPr5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d341fd36bc699141 |
|
VISUAL
aHash
|
00006000040460ff |
|
VISUAL
dHash
|
98c8c0caccccc3b8 |
|
VISUAL
wHash
|
006478380e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4d4d4c1208,c004800158588090,d8c8c0c8eaccccc3 |
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.