Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CD3B8B013552DB705A786B4F3F49B5EE2C9F349C9A3CA8892FC83726796CE0AD41711 |
|
CONTENT
ssdeep
|
1536:GEDIM4wV3dcHUSeFndjdWAeErTCAahhcP6P5Kp:GEDIM4M3dcHUSiWAaYP6P5Kp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f389d9268ccc99d8 |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7e7 |
|
VISUAL
dHash
|
4c4d0c4d4d4c4c4c |
|
VISUAL
wHash
|
c3c3e7c3c3c3c2c2 |
|
VISUAL
colorHash
|
06000030000 |
|
VISUAL
cropResistant
|
4c4d0c4d4d4c4c4c,1c99989ca4883e3a,9190c54692e80506 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.