Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAC3E023415979274437C3C170699B3BE1E68E8BF9920A014FECC7FA6BF9C90B45B619 |
|
CONTENT
ssdeep
|
1536:wwS9UgQmTa3MZo+Hd1+XYCv+A+bU7cXqcFhPY9c65Y:wwS9OQF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92cb0775b4c98baa |
|
VISUAL
aHash
|
fe3cfdfec6800006 |
|
VISUAL
dHash
|
c069f190ac0f2c2c |
|
VISUAL
wHash
|
ff7c7d7ec6800006 |
|
VISUAL
colorHash
|
30006000080 |
|
VISUAL
cropResistant
|
8223583337502282,c069f190ac0f2c2c |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.