Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE4241B8901898225777DEECB9F0171EE1A3C78AC6425A46C3ECC79D2FC7E92DC45219 |
|
CONTENT
ssdeep
|
192:tErS/AdfazVsPZtZsp4WJu8hX/K4S2fyaXFeE9B+YRbpPAOR6lRlexy:IJJHZEuGZjrL+7OUvr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce9931ccce3131ce |
|
VISUAL
aHash
|
1830003030003030 |
|
VISUAL
dHash
|
3060406060406060 |
|
VISUAL
wHash
|
3c383038f8f0f0f0 |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
3060406060406060 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.