Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7D297306001663302A392C69736674FA3D1E285CA372945BBFD9B7C6FD2EA5EC23750 |
|
CONTENT
ssdeep
|
384:fTQj6uJ8WZzQAdE8wKDKKK0b+KTKTMj6wzB8fKGJ5KIcDuscDM1KqVEATlA:jbAdLwEHn+iMg8SGvH+K0Pm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d286696d1b9a0fe4 |
|
VISUAL
aHash
|
0076762e2400c0c0 |
|
VISUAL
dHash
|
138484cdec339095 |
|
VISUAL
wHash
|
01f6767e7400d8ed |
|
VISUAL
colorHash
|
10000000180 |
|
VISUAL
cropResistant
|
9093949687968f89,58bab27cf960b2b6,138484cdec339095 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.