Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1D2A832A0007A3B119782C5B3A1E72B96E3528AF78A091553FD83BC0BF7D94DE37516 |
|
CONTENT
ssdeep
|
384:kSby5NikOIgxKPnppMm8pDBOVPhOtkLw0g2EHh58IYsOy2+y9BH4cCUIe:kSby5NikLH4txxg7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d361fc12ed1c90e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9ccccce0c8cc3c00 |
|
VISUAL
wHash
|
40fe6800204effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca51454d4d715596,1080800458988000,9cccccc8e8c9dc3c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)