Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC934CF1A284FC22457780C1B09ED285F3BA011AFA6C1BE0359DCFC673DA86746A756D |
|
CONTENT
ssdeep
|
1536:MgiAEMqW+OdU3UpJjs72IBB5MVE9zQ2N0msQw:MAVqVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9139e42fd9c56097 |
|
VISUAL
aHash
|
020c4c7c0c003efe |
|
VISUAL
dHash
|
921998d13880e8a4 |
|
VISUAL
wHash
|
4a0c6c7c1c40fefe |
|
VISUAL
colorHash
|
30200030000 |
|
VISUAL
cropResistant
|
829886e1783e9ced,38172e4f26d4cc35,f1ccce96c6ccccc6,f8cadbb333773e1e,304c4d4d4d320c00,921998d13880e8a4 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.