Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6E17225D386090A93878648B463EFDC57A5070DCB85C73CBAFB15B9D05F3609ABA5CC |
|
CONTENT
ssdeep
|
96:TG0xi/U10y83xy3Nwe/fD/fJ/fckaq4Os06+vIM06+v5nGHxJ/mSVf4GGs3Gsk2O:7xWUe7hCnDJtZ4ObAF+mqk2Wss |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3333389cccccccc |
|
VISUAL
aHash
|
c7c7c7ffe7e7ffff |
|
VISUAL
dHash
|
0e0c0e160e1e0c00 |
|
VISUAL
wHash
|
c0c0c0c0c3c3c3ff |
|
VISUAL
colorHash
|
070000180c0 |
|
VISUAL
cropResistant
|
0e0c0e160e1e0c00,cbcbc9c3a3cbcbcb |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)