Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154A36933411875274437C6D530A55B3BD2A68A5FFAE70A010EECD7FA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:yEmpAHH6+f+YOJLE/Ukzl1v93YpIne5ELz4NP/y9svbliCdfyEQFtiuCa28y2O9:TmAi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c256d53a9129bd2b |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
c8ccc8c8cd8dc3d0 |
|
VISUAL
wHash
|
0cfc70206c6578ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080811030808000,c8ccccc0cccd8dd2 |
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.