Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16AC39A33421978274137C2D520B95B37E2959E5FFAA30A014EECD7FB2BEECA0745A149 |
|
CONTENT
ssdeep
|
1536:oVSkCpxLwSxNSOr8aNSBEZcBXtBHmjePsJ6Ke1ZRTksPE9I2IEBa4QjoFYS5r1cb:oVSkAEH0J8bXQp1OXWf+CM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0cbcb60cdcb8b31 |
|
VISUAL
aHash
|
ffefffc7c3c3c3c3 |
|
VISUAL
dHash
|
6b9e9996969e9e96 |
|
VISUAL
wHash
|
f9424642c2c2c2c2 |
|
VISUAL
colorHash
|
0e0020001c0 |
|
VISUAL
cropResistant
|
6b9e9996969e9e96,7a171633670b0d66 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.