Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBA36A33411875274437C6D530A95B3BD2A69A4FFAE70A010EECD7FA1BF9CA0B45B11A |
|
CONTENT
ssdeep
|
1536:R0WZQX3KuPOoe5LUPkUj3+FfNzczjP54X9Rgmn4qLz4NP/y9svbliCdWZFtiuCac:OymA9a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c253d53a9929b94e |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
98ccc8c8cd8dc3d4 |
|
VISUAL
wHash
|
0cfe70007c6178ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080811030808000,98ccccc8cccd89c0 |
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.