Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4E2E06030005F76174B69D89A719B4732E1D242DF8B3D49C6DA63E767EACE18C7E0B2 |
|
CONTENT
ssdeep
|
384:SWGBs/H2IAgfc0X7diAouUVFXVPthLqG1xisswQyW4jyW4qyW4FyW4whyW47yW4b:3GBs/H2uc0X7dSV19p3JrXPznB0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8b846c638b947c7 |
|
VISUAL
aHash
|
ffffffcfdfffff00 |
|
VISUAL
dHash
|
2030009410680030 |
|
VISUAL
wHash
|
90808080ffffff00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2030009410400028,0460790832320800 |
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 3210 techniques to evade detection by security scanners and make reverse engineering more difficult.