Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173A35933411875274437C6D530A55B3BD2A68A5FFAE70A010EECD7FA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:lyVLz4NP/y9svbliCdEHnFtiuCa28y2O9:YNmAp8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c353d53a9829bd0e |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
c8ccc8c8cd89c1d0 |
|
VISUAL
wHash
|
0cf470247c6178ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
4080811030808000,98ccc8c8cccd8bc4 |
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.