Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196843CE053A02ABA419787E4B2317357F29B567EEA23D98CF3DC87556BDBC68CD00190 |
|
CONTENT
ssdeep
|
3072:nZhAo3LJYNmP7IZtXZeiHPCuuUZs5RwL4ZujVgub5tIZwr7LfqLLaZtmZeiHPCul:nZhFFYNmQUAw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e8cd46bebcda026 |
|
VISUAL
aHash
|
ff001311010000ff |
|
VISUAL
dHash
|
2b747663c3c9f08a |
|
VISUAL
wHash
|
ff033f3b210100ff |
|
VISUAL
colorHash
|
1bc00000000 |
|
VISUAL
cropResistant
|
002b2b2b2b330080,000c0c0c0c000000,7576f263cb83d0c0 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.