Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117A37833411875274437C6D530A55B3BE2E68A4FFAA70A014EECD7FA2BFAC90745B11A |
|
CONTENT
ssdeep
|
1536:3tXtLz4NP/y9svbliCd4GrVCauJFtWAuCa2nX2ZP4:9XFmA7GrVCaug4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c303b53af12cbc4e |
|
VISUAL
aHash
|
0000000000007fff |
|
VISUAL
dHash
|
49c8c0c8c990e5e8 |
|
VISUAL
wHash
|
003870e8fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
c800000058588090,49c8c0c0c9c190e4 |
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.